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
Yuan, Z.[Zheng],
Wang, J.[Junhua],
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
Wu, J.Z.[Jian-Zong],
Li, X.T.[Xiang-Tai],
Li, X.[Xia],
Ding, H.H.[Heng-Hui],
Tong, Y.H.[Yun-Hai],
Tao, D.C.[Da-Cheng],
Toward Robust Referring Image Segmentation,
IP(33), 2024, pp. 1782-1794.
IEEE DOI Code:
WWW Link.
2403
Image segmentation, Task analysis, Robustness, Transformers,
Measurement, Fuses, Benchmark testing, image segmentation,
natural language processing
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
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
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
Hong, W.X.[Wei-Xiang],
Lao, J.W.[Jiang-Wei],
Ren, W.[Wang],
Wang, J.[Jian],
Chen, J.D.[Jing-Dong],
Chu, W.[Wei],
Training Object Detectors from Scratch: An Empirical Study in the Era
of Vision Transformer,
CVPR22(4652-4661)
IEEE DOI
2210
Training, Visualization, Semantics, Detectors, Object detection,
Transformers, Recognition: detection, categorization, retrieval,
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, Pattern recognition, 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.[Dilin],
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
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 .