| 발표자 | 장성인 |
|---|---|
| 발표일자 | 2023-05-10 |
| 저자 | Aneesh Rangnekar |
| 학회명 | WACV 2023 |
| 논문지 |
주요 내용
- Semantic Segmentation 로직을 Semisupervised Learning + Active Learning 기법을 사용하여 성능향상
- Semi Supervised Learning은 Mean Teacher Framework을 사용하여 Labeled Data : Supervised Loss + Unlabled Data(Unsupervised Loss)를
사용 하였음
- Tail Class(Data양이 적은) 에 대해서 Buffer Memory(Continous Learning에서 Training이 진행되면서 기존의 Feature 잊지 않도록) 를 활용하여
Trainig의 성능을 높였음
댓글 1
2023
Can Large Language Models Be an Alternative to Human Evaluation?
2023.09.20
발표자: 김호승
발표일자: 2023-09-20
저자: Cheng-Han Chiang, Hung-yi Lee
학회명: ACL 2023
Large Selective Kernel Network for Remote Sensing Object Detection
2023.09.20
발표자: 황성준
발표일자: 2023-09-20
Federated Learning from Pre-Trained Models: A Contrastive Learning Apporoach
2023.09.20
발표자: 강용훈
발표일자: 2023-09-20
저자: Yue Tan, Guodong Long, Jie Ma, Lu Liu, Tianyi Zhou, Jing Jiang
학회명: NeurIPS 2022
Conflict-based cross-view consistency for semi supervised semantic segmentation
2023.09.20
발표자: 장성인
발표일자: 2023-09-20
저자: Zicheng Wang
학회명: CVPR2023
Contrastive Curriculum Learning for Sequential User Behavior Modeling via Data Augmentation
2023.09.13
발표자: 김한별
발표일자: 2023-09-13
저자: Shuqing Bian, Wayne Xin Zhao, Kun Zhou, Jing Cai, Yancheng He, Cunxiang Yin, Ji-Rong Wen
학회명: CIKM 2021
Seizing Critical Learning Periods in Federated Learning
2023.09.13
발표자: 홍만수
발표일자: 2023-09-13
저자: Gang Yan, Hao Wang, Jian Li
학회명: AAAI 2022
Improving Knowledge Distillation via Regularizing Feature Norm and Direction
2023.09.13
발표자: 이재준
발표일자: 2023-09-13
저자: Yuzhu Wang, Lechao Cheng†, Manni Duan, Yongheng Wang, Zunlei Feng, Shu Kong
논문지: arxiv 2023
CodeT5+: Open Code Large Language Models for Code Understanding and Generation
2023.09.13
발표자: 안지민
발표일자: 2023-09-13
저자: Yue Wang, Hung Le., et al
학회명: arXiv 2023
AdCo & CaCo
2023.09.06
발표자: 이진섭
발표일자: 2023-09-06
저자: Qianjiang Hu, Xiao Wang, Wei Hu, Guo-Jun Qi | Xiao Wang, Yuhang Huang, Dan Zeng, Guo-Jun Qi
학회명: AdCo : 2021 CVPR
논문지: CaCo : 2022 IEEE TPAMI
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recongition
2023.09.06
발표자: 장현민
발표일자: 2023-09-06
저자: Yifan Zhang, Brryan Hooi, Lanqing Hong, Jiashi Feng
학회명: NeurIPS 2022
Do We Really Need a Learnable Classifier at the End of Deep Neural Network?
2023.09.06
발표자: 임지영
발표일자: 2023-09-06
학회명: NeurIPS 2022
SCOTT: Self-Consistent Chain-of-Thought Distillation
2023.08.23
발표자: 나철원
발표일자: 2023-08-23
저자: Peifeng Wang, Zhengyang Wang, Zheng Li, Yifan Gao, Bing Yin, Xiang Ren
학회명: ACL 2023
DualCoop: Fast Adaptation to Multi-Label Recognition with Limited Annotations
2023.08.23
발표자: 송경렬
발표일자: 2023-08-23
저자: Ximeng Sun1 Ping Hu1 Kate Saenko1,2
학회명: Neurlips 2022
논문지: Neurlips 2022
CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly-Supervised Semantic Segmentation
2023.08.23
발표자: 최준수
발표일자: 2023-08-23
저자: Yuqi Lin, Minghao Chen et al.
학회명: CVPR 2023
논문지: CVPR 2023
Adabin : Improving binary neural networks with adaptive binary sets
2023.08.09
발표자: 김도영
발표일자: 2023-08-09
저자: Zhijun Tu, Xinghao Chen, Pengju Ren, and Yunhe Wang
학회명: ECCV 2022
Over-Training with Mixup May Hurt Generalization
2023.08.09
발표자: 안재한
발표일자: 2023-08-09
저자: Zixuan Liu, Ziqiao Wang, Hongyu Guo, Yongyi Mao
학회명: ICLR 2023
Style Normalization and Restitution for Domain Generalization and Adaptation
2023.08.01
발표자: 김영재
발표일자: 2023-08-02
저자: Xin Jin, Cuiling Lan, Wenjun Zeng, Zhibo Chen
학회명: CVPR 2020
SSR_An Efficient and Robust Framework for Learning with Unknown Label Noise
2023.08.02
발표자: 이진섭
발표일자: 2023-08-02
저자: Chen Feng, Georgios Tzimiropoulos, Ioannis Patras
학회명: BMVC 2022
Tackling Data Heterogeneity in Federated Learning with Class Prototypes
2023.08.02
발표자: 강용훈
발표일자: 2023-08-02
저자: Yutong Dai, Zeyuan Chen, Junnan Li, Shelby Heinecke, Lichao Sun, Ran Xu
학회명: AAAI 2023