Jin, Y.[Youngsaeng],
Han, D.[David],
Ko, H.S.[Han-Seok],
TrSeg: Transformer for semantic segmentation,
PRL(148), 2021, pp. 29-35.
Elsevier DOI
2107
Semantic segmentation, Scene understanding, Transformer,
Multi-scale contextual information
BibRef
Wang, L.[Libo],
Li, R.[Rui],
Zhang, C.[Ce],
Fang, S.H.[Sheng-Hui],
Duan, C.X.[Chen-Xi],
Meng, X.L.[Xiao-Liang],
Atkinson, P.M.[Peter M.],
UNetFormer: A UNet-like transformer for efficient semantic
segmentation of remote sensing urban scene imagery,
PandRS(190), 2022, pp. 196-214.
Elsevier DOI
2208
Award, U.V. Helava, ISPRS. Semantic Segmentation, Remote Sensing, Vision Transformer,
Fully Transformer Network, Global-local Context, Urban Scene
BibRef
Mou, C.[Chong],
Zhang, J.[Jian],
TransCL: Transformer Makes Strong and Flexible Compressive Learning,
PAMI(45), No. 4, April 2023, pp. 5236-5251.
IEEE DOI
2303
Task analysis, Transformers, Image reconstruction, Image coding,
Compressed sensing, Sensors, Cameras, Compressed sensing,
semantic segmentation
BibRef
Lin, X.[Xiao],
Sun, S.Z.[Shu-Zhou],
Huang, W.[Wei],
Sheng, B.[Bin],
Li, P.[Ping],
Feng, D.D.[David Dagan],
EAPT: Efficient Attention Pyramid Transformer for Image Processing,
MultMed(25), 2023, pp. 50-61.
IEEE DOI
2301
Transformers, Encoding, Task analysis, Semantics, Feature extraction,
Costs, Convolutional neural networks, Transformer,
semantic segmentation
BibRef
Yu, L.[Lu],
Xiang, W.[Wei],
Fang, J.[Juan],
Chen, Y.P.P.[Yi-Ping Phoebe],
Chi, L.[Lianhua],
eX-ViT: A Novel explainable vision transformer for weakly supervised
semantic segmentation,
PR(142), 2023, pp. 109666.
Elsevier DOI
2307
Explainable, Attention map, Transformer, Weakly supervised
BibRef
Quan, Y.[Yu],
Zhang, D.[Dong],
Zhang, L.Y.[Li-Yan],
Tang, J.H.[Jin-Hui],
Centralized Feature Pyramid for Object Detection,
IP(32), 2023, pp. 4341-4354.
IEEE DOI
2308
Feature extraction, Visualization, Object detection, Regulation,
Transformers, Task analysis, Detectors, Feature pyramid,
long-range dependencies
BibRef
Jin, Z.C.[Zhen-Chao],
Yu, D.D.[Dong-Dong],
Yuan, Z.H.[Ze-Huan],
Yu, L.Q.[Le-Quan],
MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic
Segmentation,
PAMI(45), No. 5, May 2023, pp. 5988-6005.
IEEE DOI
2304
Image segmentation, Semantics, Memory modules, Task analysis,
Iterative methods, Benchmark testing, Transformers,
video semantic segmentation
BibRef
Jin, Z.C.[Zhen-Chao],
Gong, T.[Tao],
Yu, D.D.[Dong-Dong],
Chu, Q.[Qi],
Wang, J.[Jian],
Wang, C.H.[Chang-Hu],
Shao, J.[Jie],
Mining Contextual Information Beyond Image for Semantic Segmentation,
ICCV21(7211-7221)
IEEE DOI
2203
Training, Image segmentation, Lips, Semantics, Memory modules,
Data aggregation, Segmentation, grouping and shape,
BibRef
Zhang, J.M.[Jia-Ming],
Liu, H.[Huayao],
Yang, K.L.[Kai-Lun],
Hu, X.X.[Xin-Xin],
Liu, R.P.[Rui-Ping],
Stiefelhagen, R.[Rainer],
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation With
Transformers,
ITS(24), No. 12, December 2023, pp. 14679-14694.
IEEE DOI Code:
WWW Link.
2312
BibRef
Wang, D.L.[Duo-Lin],
Chen, Y.[Yadang],
Naz, B.[Bushra],
Sun, L.[Le],
Li, B.Z.[Bao-Zhu],
Spatial-Aware Transformer (SAT): Enhancing Global Modeling in
Transformer Segmentation for Remote Sensing Images,
RS(15), No. 14, 2023, pp. 3607.
DOI Link
2307
BibRef
Yuan, Z.[Zheng],
Wang, J.H.[Jun-Hua],
Lv, Y.X.[Yu-Xin],
Wang, D.[Ding],
Fang, Y.[Yi],
Laformer: Vision Transformer for Panoramic Image Semantic
Segmentation,
SPLetters(30), 2023, pp. 1792-1796.
IEEE DOI
2312
BibRef
Zhang, B.[Bowen],
Liu, L.Y.[Li-Yang],
Phan, M.H.[Minh Hieu],
Tian, Z.[Zhi],
Shen, C.H.[Chun-Hua],
Liu, Y.F.[Yi-Fan],
SegViT v2: Exploring Efficient and Continual Semantic Segmentation with
Plain Vision Transformers,
IJCV(132), No. 4, April 2024, pp. 1126-1147.
Springer DOI
2404
BibRef
Ding, H.J.[Hao-Jie],
Wang, B.[Bin],
Kang, G.L.[Guo-Liang],
Li, W.J.[Wei-Jia],
He, C.H.[Cong-Hui],
Zhao, Y.[Yao],
Wei, Y.C.[Yun-Chao],
DropQueries: A Simple Way to Discover Comprehensive Segment
Representations,
MultMed(26), 2024, pp. 3481-3490.
IEEE DOI
2402
Training, Semantic segmentation, Decoding, Transformers, Buildings,
Benchmark testing, Task analysis, Semantic segmentation
BibRef
Deng, J.H.[Jin-Hong],
Zhang, X.Y.[Xiao-Yue],
Li, W.[Wen],
Duan, L.X.[Li-Xin],
Xu, D.[Dong],
Cross-Domain Detection Transformer Based on Spatial-Aware and
Semantic-Aware Token Alignment,
MultMed(26), 2024, pp. 5234-5245.
IEEE DOI
2404
Transformers, Training, Object detection, Feature extraction,
Task analysis, Semantics, Decoding, Detection transformer,
object detection
BibRef
Hong, W.X.[Wei-Xiang],
Ren, W.[Wang],
Lao, J.W.[Jiang-Wei],
Xie, L.[Lele],
Zhong, L.H.[Li-Heng],
Wang, J.[Jian],
Chen, J.D.[Jing-Dong],
Liu, H.H.[Hong-Hai],
Chu, W.[Wei],
Training Object Detectors from Scratch:
An Empirical Study in the Era of Vision Transformer,
IJCV(132), No. 8, August 2024, pp. 2929-2942.
Springer DOI
2408
BibRef
Earlier: A1, A3, A2, A6, A7, A8, Only:
CVPR22(4652-4661)
IEEE DOI
2210
Training, Visualization, Semantics, Detectors, Object detection,
Transformers, Recognition: detection, categorization, retrieval,
Deep learning architectures and techniques
BibRef
Cao, H.[Hu],
Chen, G.[Guang],
Zhao, H.S.[Heng-Shuang],
Jiang, D.S.[Dong-Sheng],
Zhang, X.P.[Xiao-Peng],
Tian, Q.[Qi],
Knoll, A.[Alois],
SDPT: Semantic-Aware Dimension-Pooling Transformer for Image
Segmentation,
ITS(25), No. 11, November 2024, pp. 15934-15946.
IEEE DOI Code:
WWW Link.
2411
Transformers, Image segmentation, Decoding, Task analysis, Semantics,
Image edge detection, Computational efficiency,
scene understanding
BibRef
Zeng, W.[Wang],
Jin, S.[Sheng],
Xu, L.[Lumin],
Liu, W.T.[Wen-Tao],
Qian, C.[Chen],
Ouyang, W.L.[Wan-Li],
Luo, P.[Ping],
Wang, X.G.[Xiao-Gang],
TCFormer: Visual Recognition via Token Clustering Transformer,
PAMI(46), No. 12, December 2024, pp. 9521-9535.
IEEE DOI
2411
BibRef
Earlier: A1, A2, A4, A5, A7, A6, A8, Only:
Not All Tokens Are Equal:
Human-centric Visual Analysis via Token Clustering Transformer,
CVPR22(11091-11101)
IEEE DOI
2210
Transformers, Semantics, Task analysis, Semantic segmentation, Shape,
Object detection, Image classification, Vision transformer.
Visualization, Pose estimation, Semantics,
Pose estimation and tracking, Deep learning architectures and techniques
BibRef
Li, Z.H.[Zi-Han],
Li, Y.X.[Yun-Xiang],
Li, Q.D.[Qing-De],
Wang, P.[Puyang],
Guo, D.[Dazhou],
Lu, L.[Le],
Jin, D.[Dakai],
Zhang, Y.[You],
Hong, Q.Q.[Qing-Qi],
LViT: Language Meets Vision Transformer in Medical Image Segmentation,
MedImg(43), No. 1, January 2024, pp. 96-107.
IEEE DOI Code:
WWW Link.
2401
BibRef
Ma, X.Y.[Xin-Yu],
Lv, P.Y.[Peng-Yuan],
Gong, X.Q.[Xun-Qiang],
SSOD-QCTR: Semi-Supervised Query Consistent Transformer for Optical
Remote Sensing Image Object Detection,
RS(16), No. 23, 2024, pp. 4556.
DOI Link
2501
BibRef
Yu, H.W.[Hyun-Woo],
Cho, Y.[Yubin],
Kang, B.[Beoungwoo],
Moon, S.[Seunghun],
Kong, K.[Kyeongbo],
Kang, S.J.[Suk-Ju],
Embedding-free Transformer with Inference Spatial Reduction for
Efficient Semantic Segmentation,
ECCV24(XLII: 92-110).
Springer DOI
2412
BibRef
Zhang, D.Y.[Ding-Yuan],
Liang, D.K.[Ding-Kang],
Tan, Z.C.[Zi-Chang],
Ye, X.Q.[Xiao-Qing],
Zhang, C.[Cheng],
Wang, J.D.[Jing-Dong],
Bai, X.[Xiang],
Make Your Vit-based Multi-view 3d Detectors Faster via Token
Compression,
ECCV24(XLVII: 56-72).
Springer DOI
2412
BibRef
Rojas-Gomez, R.A.[Renan A.],
Lim, T.Y.F.[Teck-Yi-Fan],
Do, M.N.[Minh N.],
Yeh, R.A.[Raymond A.],
Making Vision Transformers Truly Shift-Equivariant,
CVPR24(5568-5577)
IEEE DOI Code:
WWW Link.
2410
Adaptation models, Semantic segmentation, Merging, Transformers, Tokenization,
Encoding, shift invariance, shift equivariance, vision transformers
BibRef
Wang, S.[Shuo],
Li, J.[Jing],
Zhao, Z.[Zibo],
Lian, D.Z.[Dong-Ze],
Huang, B.B.[Bin-Bin],
Wang, X.M.[Xiao-Mei],
Li, Z.X.[Zheng-Xin],
Gao, S.H.[Sheng-Hua],
TSP-Transformer: Task-Specific Prompts Boosted Transformer for
Holistic Scene Understanding,
WACV24(914-923)
IEEE DOI
2404
Representation learning, Fuses, Semantic segmentation, Estimation,
Transformers, Decoding, Algorithms, Image recognition and understanding
BibRef
Kang, B.[Beoungwoo],
Moon, S.[Seunghun],
Cho, Y.[Yubin],
Yu, H.W.[Hyun-Woo],
Kang, S.J.[Suk-Ju],
MetaSeg: MetaFormer-based Global Contexts-aware Network for Efficient
Semantic Segmentation,
WACV24(433-442)
IEEE DOI
2404
Semantic segmentation, Computer architecture, Transformers,
Decoding, Computational efficiency, Data mining, Algorithms,
Biomedical / healthcare / medicine
BibRef
Koohpayegani, S.A.[Soroush Abbasi],
Pirsiavash, H.[Hamed],
SimA: Simple Softmax-free Attention for Vision Transformers,
WACV24(2595-2605)
IEEE DOI Code:
WWW Link.
2404
Performance evaluation, Visualization, Image segmentation,
Image resolution, Image edge detection, Switches,
Image recognition and understanding
BibRef
Kluska, P.[Piotr],
Castelló, A.[Adrián],
Scheidegger, F.[Florian],
Malossi, A.C.I.[A. Cristiano I.],
Quintana-Ortí, E.S.[Enrique S.],
QAttn: Efficient GPU Kernels for mixed-precision Vision Transformers,
LargeVM24(3648-3657)
IEEE DOI Code:
WWW Link.
2410
Image segmentation, Quantization (signal), Computational modeling,
Graphics processing units, Prototypes, instance segmentation
BibRef
Kang, D.[Dahyun],
Koniusz, P.[Piotr],
Cho, M.[Minsu],
Murray, N.[Naila],
Distilling Self-Supervised Vision Transformers for Weakly-Supervised
Few-Shot Classification and Segmentation,
CVPR23(19627-19638)
IEEE DOI
2309
BibRef
Jain, J.[Jitesh],
Singh, A.[Anukriti],
Orlov, N.[Nikita],
Huang, Z.L.[Zi-Long],
Li, J.C.[Jia-Chen],
Walton, S.[Steven],
Shi, H.[Humphrey],
SeMask: Semantically Masked Transformers for Semantic Segmentation,
NIVT23(752-761)
IEEE DOI Code:
WWW Link.
2401
BibRef
Wang, K.[Kaihong],
Kim, D.H.[Dong-Hyun],
Feris, R.S.[Rogerio S.],
Betke, M.[Margrit],
CDAC: Cross-domain Attention Consistency in Transformer for Domain
Adaptive Semantic Segmentation,
ICCV23(11485-11495)
IEEE DOI Code:
WWW Link.
2401
BibRef
Tang, Q.[Quan],
Zhang, B.[Bowen],
Liu, J.J.[Jia-Jun],
Liu, F.G.[Fa-Gui],
Liu, Y.F.[Yi-Fan],
Dynamic Token Pruning in Plain Vision Transformers for Semantic
Segmentation,
ICCV23(777-786)
IEEE DOI Code:
WWW Link.
2401
BibRef
Shi, H.[Hengcan],
Hayat, M.[Munawar],
Cai, J.F.[Jian-Fei],
Transformer Scale Gate for Semantic Segmentation,
CVPR23(3051-3060)
IEEE DOI
2309
BibRef
Mo, S.T.[Shen-Tong],
Sun, Z.[Zhun],
Li, C.[Chao],
Multi-level Contrastive Learning for Self-Supervised Vision
Transformers,
WACV23(2777-2786)
IEEE DOI
2302
Training, Representation learning, Head, Semantic segmentation,
Self-supervised learning, visual reasoning
BibRef
Marin, D.[Dmitrii],
Chang, J.H.R.[Jen-Hao Rick],
Ranjan, A.[Anurag],
Prabhu, A.[Anish],
Rastegari, M.[Mohammad],
Tuzel, O.[Oncel],
Token Pooling in Vision Transformers for Image Classification,
WACV23(12-21)
IEEE DOI
2302
Filtering, Semantic segmentation, Pose estimation, Transformers,
Encoding, Convolutional neural networks, and algorithms (including transfer)
BibRef
Chen, J.N.[Jie-Neng],
Sun, S.Y.[Shu-Yang],
He, J.[Ju],
Torr, P.H.S.[Philip H.S.],
Yuille, A.L.[Alan L.],
Bai, S.[Song],
TransMix: Attend to Mix for Vision Transformers,
CVPR22(12125-12134)
IEEE DOI
2210
Training, Image segmentation, Codes, Semantics, Object detection,
Benchmark testing, Transformers, Representation learning
BibRef
Liu, H.[Hao],
Jiang, X.H.[Xing-Hua],
Li, X.[Xin],
Bao, Z.M.[Zhi-Min],
Jiang, D.Q.[De-Qiang],
Ren, B.[Bo],
NomMer: Nominate Synergistic Context in Vision Transformer for Visual
Recognition,
CVPR22(12063-12072)
IEEE DOI
2210
Visualization, Image segmentation, Semantics, Redundancy,
Object detection, Deep learning architectures and techniques
BibRef
Guo, J.Y.[Jian-Yuan],
Tang, Y.H.[Ye-Hui],
Han, K.[Kai],
Chen, X.H.[Xing-Hao],
Wu, H.[Han],
Xu, C.[Chao],
Xu, C.[Chang],
Wang, Y.H.[Yun-He],
Hire-MLP: Vision MLP via Hierarchical Rearrangement,
CVPR22(816-826)
IEEE DOI
2210
Representation learning, Image segmentation, Semantics,
Object detection, Transformers, Representation learning
BibRef
Lee, Y.[Youngwan],
Kim, J.[Jonghee],
Willette, J.[Jeffrey],
Hwang, S.J.[Sung Ju],
MPViT: Multi-Path Vision Transformer for Dense Prediction,
CVPR22(7277-7286)
IEEE DOI
2210
Image segmentation, Semantics, Object detection, Transformers,
Feature extraction, Recognition: detection,
Representation learning
BibRef
Li, W.[Wei],
Li, Z.X.[Zhi-Xin],
Causal-SETR:
A SEgmentation TRansformer Variant Based on Causal Intervention,
ACCV22(VII:414-430).
Springer DOI
2307
BibRef
Lin, F.J.[Fang-Jian],
Wu, S.T.[Si-Tong],
Ma, Y.Z.[Yi-Zhe],
Tian, S.W.[Sheng-Wei],
Full-scale Selective Transformer for Semantic Segmentation,
ACCV22(VII:310-326).
Springer DOI
2307
BibRef
Rossetti, S.[Simone],
Zappia, D.[Damiano],
Sanzari, M.[Marta],
Schaerf, M.[Marco],
Pirri, F.[Fiora],
Max Pooling with Vision Transformers Reconciles Class and Shape in
Weakly Supervised Semantic Segmentation,
ECCV22(XXX:446-463).
Springer DOI
2211
BibRef
Themyr, L.[Loic],
Rambour, C.[Clément],
Thome, N.[Nicolas],
Collins, T.[Toby],
Hostettler, A.[Alexandre],
Full Contextual Attention for Multi-resolution Transformers in
Semantic Segmentation,
WACV23(3223-3232)
IEEE DOI
2302
Training, Visualization, Solid modeling, Image resolution,
Semantic segmentation, Transformers
BibRef
Shi, B.[Bowen],
Jiang, D.S.[Dong-Sheng],
Zhang, X.P.[Xiao-Peng],
Li, H.[Han],
Dai, W.R.[Wen-Rui],
Zou, J.[Junni],
Xiong, H.K.[Hong-Kai],
Tian, Q.[Qi],
A Transformer-Based Decoder for Semantic Segmentation with Multi-level
Context Mining,
ECCV22(XXVIII:624-639).
Springer DOI
2211
BibRef
Brempong, E.A.[Emmanuel Asiedu],
Kornblith, S.[Simon],
Chen, T.[Ting],
Parmar, N.[Niki],
Minderer, M.[Matthias],
Norouzi, M.[Mohammad],
Denoising Pretraining for Semantic Segmentation,
L3D-IVU22(4174-4185)
IEEE DOI
2210
Training, Image segmentation, Noise reduction, Semantics,
Supervised learning, Transformers, Probabilistic logic
BibRef
Gu, J.Q.[Jia-Qi],
Kwon, H.[Hyoukjun],
Wang, D.L.[Di-Lin],
Ye, W.[Wei],
Li, M.[Meng],
Chen, Y.H.[Yu-Hsin],
Lai, L.Z.[Liang-Zhen],
Chandra, V.[Vikas],
Pan, D.Z.[David Z.],
Multi-Scale High-Resolution Vision Transformer for Semantic
Segmentation,
CVPR22(12084-12093)
IEEE DOI
2210
Representation learning, Architecture, Semantics, Redundancy,
Computer architecture, Object detection,
grouping and shape analysis
BibRef
Liu, Y.Y.[Yao-Yao],
Schiele, B.[Bernt],
Vedaldi, A.[Andrea],
Rupprecht, C.[Christian],
Continual Detection Transformer for Incremental Object Detection,
CVPR23(23799-23808)
IEEE DOI
2309
BibRef
Zhang, Y.F.[Yi-Fan],
Pang, B.[Bo],
Lu, C.[Cewu],
Semantic Segmentation by Early Region Proxy,
CVPR22(1248-1258)
IEEE DOI
2210
Image segmentation, Shape, Computational modeling, Semantics, Layout,
Predictive models, Transformers, Segmentation, grouping and shape analysis
BibRef
Ke, T.W.[Tsung-Wei],
Hwang, J.J.[Jyh-Jing],
Guo, Y.H.[Yun-Hui],
Wang, X.D.[Xu-Dong],
Yu, S.X.[Stella X.],
Unsupervised Hierarchical Semantic Segmentation with Multiview
Cosegmentation and Clustering Transformers,
CVPR22(2561-2571)
IEEE DOI
2210
Representation learning, Image segmentation, Visualization,
Semantics, Benchmark testing, Transformers, Segmentation,
Self- semi- meta- unsupervised learning
BibRef
Bhattacharjee, D.[Deblina],
Zhang, T.[Tong],
Süsstrunk, S.[Sabine],
Salzmann, M.[Mathieu],
MuIT: An End-to-End Multitask Learning Transformer,
CVPR22(12021-12031)
IEEE DOI
2210
Heart, Image segmentation, Computational modeling,
Image edge detection, Semantics, Estimation, Predictive models,
Scene analysis and understanding
BibRef
Scheibenreif, L.[Linus],
Hanna, J.[Joëlle],
Mommert, M.[Michael],
Borth, D.[Damian],
Self-supervised Vision Transformers for Land-cover Segmentation and
Classification,
EarthVision22(1421-1430)
IEEE DOI
2210
Training, Earth, Image segmentation, Computational modeling,
Conferences, Transformers
BibRef
Strudel, R.[Robin],
Garcia, R.[Ricardo],
Laptev, I.[Ivan],
Schmid, C.[Cordelia],
Segmenter: Transformer for Semantic Segmentation,
ICCV21(7242-7252)
IEEE DOI
2203
Image segmentation, Image coding, Semantics, Transformers, Encoding,
Decoding, Segmentation, grouping and shape,
Visual reasoning and logical representation
BibRef
Zhao, H.S.[Heng-Shuang],
Jiang, L.[Li],
Jia, J.Y.[Jia-Ya],
Torr, P.H.S.[Philip H.S.],
Koltun, V.[Vladlen],
Point Transformer,
ICCV21(16239-16248)
IEEE DOI
2203
Point cloud compression, Measurement, Image segmentation,
Semantics, Object detection, Transformer cores,
Recognition and classification
BibRef
Caron, M.[Mathilde],
Houlsby, N.[Neil],
Schmid, C.[Cordelia],
Location-Aware Self-Supervised Transformers for Semantic Segmentation,
WACV24(116-126)
IEEE DOI
2404
Location awareness, Visualization, Semantic segmentation,
Neural networks, Estimation, Self-supervised learning, Algorithms,
Image recognition and understanding
BibRef
Caron, M.[Mathilde],
Touvron, H.[Hugo],
Misra, I.[Ishan],
Jegou, H.[Hervé],
Mairal, J.[Julien],
Bojanowski, P.[Piotr],
Joulin, A.[Armand],
Emerging Properties in Self-Supervised Vision Transformers,
ICCV21(9630-9640)
IEEE DOI
2203
Training, Image segmentation, Semantics, Layout, Image retrieval,
Representation learning,
Transfer/Low-shot/Semi/Unsupervised Learning
BibRef
Wang, W.[Wenhai],
Xie, E.[Enze],
Li, X.[Xiang],
Fan, D.P.[Deng-Ping],
Song, K.[Kaitao],
Liang, D.[Ding],
Lu, T.[Tong],
Luo, P.[Ping],
Shao, L.[Ling],
Pyramid Vision Transformer:
A Versatile Backbone for Dense Prediction without Convolutions,
ICCV21(548-558)
IEEE DOI
2203
Image resolution, Costs, Semantics, Object detection, Transformers,
Feature extraction, Recognition and classification,
grouping and shape
BibRef
Zhang, Z.X.[Zi-Xiao],
Lu, X.Q.[Xiao-Qiang],
Cao, G.J.[Guo-Jin],
Yang, Y.T.[Yu-Ting],
Jiao, L.C.[Li-Cheng],
Liu, F.[Fang],
ViT-YOLO: Transformer-Based YOLO for Object Detection,
VisDrone21(2799-2808)
IEEE DOI
2112
Semantics, Detectors, Object detection,
Feature extraction, Robustness
BibRef
Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Boundary Detection for Semantic Segmentation, Border Analysis .