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ACCV 2024: Hanoi, Vietnam - Part VIII
- Minsu Cho
, Ivan Laptev, Du Tran, Angela Yao
Computer Vision - ACCV 2024 - 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8-12, 2024, Proceedings, Part VIII. Lecture Notes in Computer Science 15479, Springer 2025, ISBN 978-981-96-0965-9
Deep Learning
- Thanh Hai Phung, Hong-Han Shuai
Revealing Hidden Context in Camouflage Instance Segmentation. 3-20 - Jiaxing Shi, Ao Ren, Wei Zhuang, Yang Hua, ZhiYong Qin, Zhenyu Wang, Yang Song, Yujuan Tan, Duo Liu:
VIFA: An Efficient Visible and Infrared Image Fusion Architecture for Multi-task Applications via Continual Learning. 21-37 - Jun-Hyun Bae, Minho Lee
Adaptive Bias Discovery for Learning Debiased Classifier. 38-54 - Shinya Gongyo, Jinrong Liang, Mitsuru Ambai, Rei Kawakami, Ikuro Sato:
Learning Non-uniform Step Sizes for Neural Network Quantization. 55-73 - Kin Wai Lau
FedRepOpt: Gradient Re-parametrized Optimizers in Federated Learning. 74-90 - Jingtian Li, Lin Fang, Yi Wu, Shangfei Wang:
Progressive Target Refinement by Self-distillation for Human Pose Estimation. 91-103 - Seungmin Oh, Jongbin Ryu
Neural Substitution for Branch-Level Network Re-parameterization. 104-120 - Taehoon Kim, Jaemin Na
Dual Prototype-Driven Objectness Decoupling for Cross-Domain Object Detection in Urban Scene. 121-138 - Hyeonwoo Cho, Chanmin Park, Dong-Hee Kim, Jinyoung Kim, Won Hwa Kim:
CNG-SFDA: Clean-and-Noisy Region Guided Online-Offline Source-Free Domain Adaptation. 139-157 - Zeyu Shangguan
Decoupled DETR for Few-Shot Object Detection. 158-174 - Meenakshi Subhash Chippa, Prakash Chandra Chhipa
LCM: Log Conformal Maps for Robust Representation Learning to Mitigate Perspective Distortion. 175-191 - Mao Tomita, Ikuro Sato
A Simple Finetuning Strategy Based on Bias-Variance Ratios of Layer-Wise Gradients. 192-209 - Ramya Hebbalaguppe, Mayank Baranwal, Kartik Anand, Chetan Arora:
Calibration Transfer via Knowledge Distillation. 210-228 - Erh-Chung Chen, Pin-Yu Chen, I-Hsin Chung, Che-Rung Lee:
Latency Attack Resilience in Object Detectors: Insights from Computing Architecture. 229-245 - Chong Zhang, Mingyu Jin, Qinkai Yu, Haochen Xue, Shreyank N. Gowda
Bridging the Projection Gap: Overcoming Projection Bias Through Parameterized Distance Learning. 246-262 - Hanqing Li, Diego Klabjan
Unsupervised Video Summarization via Iterative Training and Simplified GAN. 263-279 - Enkai Zhang, Jingjing Liu, Anda Cao, Zhen Sun, Haofei Zhang, Huiqiong Wang, Li Sun, Mingli Song:
RS-SAM: Integrating Multi-scale Information for Enhanced Remote Sensing Image Segmentation. 280-296 - Wenxin Ning, Dongliang Chang, Yujun Tong, Zhongjiang He, Kongming Liang, Zhanyu Ma:
Hierarchical Prompting for Diffusion Classifiers. 297-314 - Jiaxu Tian, Fan Lyu:
Parameter-Selective Continual Test-Time Adaptation. 315-331 - Markus Schön, Michael Buchholz
MGNiceNet: Unified Monocular Geometric Scene Understanding. 332-350 - Jisu Han, Jaemin Na
SRIL: Selective Regularization for Class-Incremental Learning. 351-367 - JoonHo Lee
Adapting Models to Scarce Target Data Without Source Samples. 368-383 - Keyang Cheng, Wenxuan Zou, Hongjian Gu, Anxiang Ouyang:
BAMG: Text-Based Person Re-identification via Bottlenecks Attention and Masked Graph Modeling. 384-401 - Soosung Kim, Yeonhong Park, Hyunseung Lee, Sungchan Yi, Jae W. Lee:
ReLUifying Smooth Functions: Low-Cost Knowledge Distillation to Obtain High-Performance ReLU Networks. 402-418 - Jaewook Lee, Yoel Park, Seulki Lee:
Designing Extremely Memory-Efficient CNNs for On-Device Vision Tasks. 419-435 - Koyo Imai, Naoto Hayashi, Tsubasa Hirakawa
Faster Convergence and Uncorrelated Gradients in Self-Supervised Online Continual Learning. 436-453 - Hirotaka Hachiya
Randomized Channel-Pass Mask for Channel-Wise Explanation of Black-Box Models. 454-468 - Yunhao Li
Optimized Breast Lesion Segmentation in Ultrasound Videos Across Varied Resource-Scant Environments. 469-484
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