Papers
Token Contrast for Weakly-Supervised Semantic Segmentation
Lixiang Ru, Heliang Zheng, Yibing Zhan et al.
TokenHPE: Learning Orientation Tokens for Efficient Head Pose Estimation via Transformers
Cheng Zhang, Hai Liu, Yongjian Deng et al.
Token Turing Machines
Michael S. Ryoo, Keerthana Gopalakrishnan, Kumara Kahatapitiya et al.
TopDiG: Class-Agnostic Topological Directional Graph Extraction From Remote Sensing Images
Bingnan Yang, Mi Zhang, Zhan Zhang et al.
Top-Down Visual Attention From Analysis by Synthesis
Baifeng Shi, Trevor Darrell, Xin Wang
TOPLight: Lightweight Neural Networks With Task-Oriented Pretraining for Visible-Infrared Recognition
Hao Yu, Xu Cheng, Wei Peng
TopNet: Transformer-Based Object Placement Network for Image Compositing
Sijie Zhu, Zhe Lin, Scott Cohen et al.
Topology-Guided Multi-Class Cell Context Generation for Digital Pathology
Shahira Abousamra, Rajarsi Gupta, Tahsin Kurc et al.
ToThePoint: Efficient Contrastive Learning of 3D Point Clouds via Recycling
Xinglin Li, Jiajing Chen, Jinhui Ouyang et al.
Toward Accurate Post-Training Quantization for Image Super Resolution
Zhijun Tu, Jie Hu, Hanting Chen et al.
Toward RAW Object Detection: A New Benchmark and a New Model
Ruikang Xu, Chang Chen, Jingyang Peng et al.
Towards Accurate Image Coding: Improved Autoregressive Image Generation With Dynamic Vector Quantization
Mengqi Huang, Zhendong Mao, Zhuowei Chen et al.
Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information
Weijie Su, Xizhou Zhu, Chenxin Tao et al.
Towards Artistic Image Aesthetics Assessment: A Large-Scale Dataset and a New Method
Ran Yi, Haoyuan Tian, Zhihao Gu et al.
Towards a Smaller Student: Capacity Dynamic Distillation for Efficient Image Retrieval
Yi Xie, Huaidong Zhang, Xuemiao Xu et al.
Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks
Simin Li, Shuning Zhang, Gujun Chen et al.
Towards Better Decision Forests: Forest Alternating Optimization
Miguel Á. Carreira-Perpiñán, Magzhan Gabidolla, Arman Zharmagambetov
Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment
Baorui Ma, Junsheng Zhou, Yu-Shen Liu et al.
Towards Better Stability and Adaptability: Improve Online Self-Training for Model Adaptation in Semantic Segmentation
Dong Zhao, Shuang Wang, Qi Zang et al.
Towards Bridging the Performance Gaps of Joint Energy-Based Models
Xiulong Yang, Qing Su, Shihao Ji
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration
Kemal Oksuz, Tom Joy, Puneet K. Dokania
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations
Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen et al.
Towards Domain Generalization for Multi-View 3D Object Detection in Bird-Eye-View
Shuo Wang, Xinhai Zhao, Hai-Ming Xu et al.
Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition
Xiao Yang, Chang Liu, Longlong Xu et al.
Towards Effective Visual Representations for Partial-Label Learning
Shiyu Xia, Jiaqi Lv, Ning Xu et al.