Papers
18,421 papers found
Balanced Rate-Distortion Optimization in Learned Image Compression
Yichi Zhang, Zhihao Duan, Yuning Huang et al.
Balancing Two Classifiers via A Simplex ETF Structure for Model Calibration
Jiani Ni, He Zhao, Jintong Gao et al.
BARD-GS: Blur-Aware Reconstruction of Dynamic Scenes via Gaussian Splatting
Yiren Lu, Yunlai Zhou, Disheng Liu et al.
BASKET: A Large-Scale Video Dataset for Fine-Grained Skill Estimation
Yulu Pan, Ce Zhang, Gedas Bertasius
Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection
Zhen Qu, Xian Tao, Xinyi Gong et al.
Bayesian Test-Time Adaptation for Vision-Language Models
Lihua Zhou, Mao Ye, Shuaifeng Li et al.
Believing is Seeing: Unobserved Object Detection using Generative Models
Subhransu S. Bhattacharjee, Dylan Campbell, Rahul Shome
Be More Specific: Evaluating Object-centric Realism in Synthetic Images
Anqi Liang, Ciprian Corneanu, Qianli Feng et al.
Benchmarking Large Vision-Language Models via Directed Scene Graph for Comprehensive Image Captioning
Fan Lu, Wei Wu, Kecheng Zheng et al.
Benchmarking Object Detectors under Real-World Distribution Shifts in Satellite Imagery
Sara A. Al-Emadi, Yin Yang, Ferda Ofli
beta-FFT: Nonlinear Interpolation and Differentiated Training Strategies for Semi-Supervised Medical Image Segmentation
Ming Hu, Jianfu Yin, Zhuangzhuang Ma et al.
BEVDiffuser: Plug-and-Play Diffusion Model for BEV Denoising with Ground-Truth Guidance
Xin Ye, Burhaneddin Yaman, Sheng Cheng et al.
Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation
Hongmei Yin, Tingliang Feng, Fan Lyu et al.
Beyond Clean Training Data: A Versatile and Model-Agnostic Framework for Out-of-Distribution Detection with Contaminated Training Data
Yuchuan Li, Jae-Mo Kang, Il-Min Kim
Beyond Generation: A Diffusion-based Low-level Feature Extractor for Detecting AI-generated Images
Nan Zhong, Haoyu Chen, Yiran Xu et al.
Beyond Human Perception: Understanding Multi-Object World from Monocular View
Keyu Guo, Yongle Huang, Shijie Sun et al.
Beyond Image Classification: A Video Benchmark and Dual-Branch Hybrid Discrimination Framework for Compositional Zero-Shot Learning
Dongyao Jiang, Haodong Jing, Yongqiang Ma et al.
Beyond Local Sharpness: Communication-Efficient Global Sharpness-aware Minimization for Federated Learning
Debora Caldarola, Pietro Cagnasso, Barbara Caputo et al.
Beyond Sight: Towards Cognitive Alignment in LVLM via Enriched Visual Knowledge
Yaqi Zhao, Yuanyang Yin, Lin Li et al.
Beyond Single-Modal Boundary: Cross-Modal Anomaly Detection through Visual Prototype and Harmonization
Kai Mao, Ping Wei, Yiyang Lian et al.
Beyond Words: Augmenting Discriminative Richness via Diffusions in Unsupervised Prompt Learning
Hairui Ren, Fan Tang, He Zhao et al.
BFANet: Revisiting 3D Semantic Segmentation with Boundary Feature Analysis
Weiguang Zhao, Rui Zhang, Qiufeng Wang et al.
BF-STVSR: B-Splines and Fourier---Best Friends for High Fidelity Spatial-Temporal Video Super-Resolution
Eunjin Kim, Hyeonjin Kim, Kyong Hwan Jin et al.
BG-Triangle: Bezier Gaussian Triangle for 3D Vectorization and Rendering
Minye Wu, Haizhao Dai, Kaixin Yao et al.
BHViT: Binarized Hybrid Vision Transformer
Tian Gao, Yu Zhang, Zhiyuan Zhang et al.