Papers
Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation
Bo Huang, Mingyang Chen, Yi Wang et al.
Boosting Detection in Crowd Analysis via Underutilized Output Features
Shaokai Wu, Fengyu Yang
Boosting Low-Data Instance Segmentation by Unsupervised Pre-Training With Saliency Prompt
Hao Li, Dingwen Zhang, Nian Liu et al.
Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data
Yuhao Chen, Xin Tan, Borui Zhao et al.
Boosting Transductive Few-Shot Fine-Tuning With Margin-Based Uncertainty Weighting and Probability Regularization
Ran Tao, Hao Chen, Marios Savvides
Boosting Verified Training for Robust Image Classifications via Abstraction
Zhaodi Zhang, Zhiyi Xue, Yang Chen et al.
Boosting Video Object Segmentation via Space-Time Correspondence Learning
Yurong Zhang, Liulei Li, Wenguan Wang et al.
Boosting Weakly-Supervised Temporal Action Localization With Text Information
Guozhang Li, De Cheng, Xinpeng Ding et al.
Boost Vision Transformer With GPU-Friendly Sparsity and Quantization
Chong Yu, Tao Chen, Zhongxue Gan et al.
Bootstrapping Objectness From Videos by Relaxed Common Fate and Visual Grouping
Long Lian, Zhirong Wu, Stella X. Yu
Bootstrap Your Own Prior: Towards Distribution-Agnostic Novel Class Discovery
Muli Yang, Liancheng Wang, Cheng Deng et al.
Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation
Xu Zheng, Jinjing Zhu, Yexin Liu et al.
Boundary-Aware Backward-Compatible Representation via Adversarial Learning in Image Retrieval
Tan Pan, Furong Xu, Xudong Yang et al.
Boundary-Enhanced Co-Training for Weakly Supervised Semantic Segmentation
Shenghai Rong, Bohai Tu, Zilei Wang et al.
Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting the Decision Boundary
Min Chen, Weizhuo Gao, Gaoyang Liu et al.
Box-Level Active Detection
Mengyao Lyu, Jundong Zhou, Hui Chen et al.
BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance Segmentation
Tianheng Cheng, Xinggang Wang, Shaoyu Chen et al.
Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack
Hideaki Takahashi, Jingjing Liu, Yang Liu
Breaking the "Object" in Video Object Segmentation
Pavel Tokmakov, Jie Li, Adrien Gaidon
Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection
Muhammad Akhtar Munir, Muhammad Haris Khan, Salman Khan et al.
Bridging Search Region Interaction With Template for RGB-T Tracking
Tianrui Hui, Zizheng Xun, Fengguang Peng et al.
Bridging the Gap Between Model Explanations in Partially Annotated Multi-Label Classification
Youngwook Kim, Jae Myung Kim, Jieun Jeong et al.
B-Spline Texture Coefficients Estimator for Screen Content Image Super-Resolution
Byeonghyun Pak, Jaewon Lee, Kyong Hwan Jin
BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud Registration
Sheng Ao, Qingyong Hu, Hanyun Wang et al.