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 Posted in Conference, Paper, Peer Review, X-Review

보호된 글: [WACV 2022, Under review] Meta-UDA: Unsupervised Domain Adaptive Thermal Object Detection using Meta-Learning

 김 지원  10/04/2021

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Author: 김 지원

글 내비게이션

← ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning
ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning →

학술대회 마감

  • [BMVC 2023] 2023.05.31 
  • [ICCV 2023] 2023.03.08 
  • [CVPR 2023] 2022.11.12
  • [ICRA 2023] 2022.09.16
  • [AAAI 2022] 2022.08.16
  • [NeurIPS 2022] 2022.05.20
  • [ECCV 2022] 2022.03.08
2021 10월
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태그

3D adversarial adversarial validation attention AutoML autonomous driving BoW CDVA compression contrastive learning data augmentation descriptor GAN ICP LIFT NIP NLP NT-Xent object detection point clouds range image self-supervised SIFT transformer video retrieval Waymo 기초연구실 수중로봇 챌린지

카테고리

B.S. BoW.2020 Conference Director M.S. News Paper Patents Peer Review Ph.D. Publications RCVWS.2020 Videos X-Course X-Diary X-Project X-Review 미분류

최신 글

  • [ECCV2024]R2-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding
  • [CVPR 2024] MART: Masked Affective RepresenTation Learning via Masked Temporal Distribution Distillation
  • [CVPR 2022][Oral] Rethinking Semantic Segmentation: A Prototype View
  • [CVPR 2022] DN-DETR: Accelerate DETR Training by Introducing Query DeNoising
  • [NeurIPS 2024] ImOV3D: Learning Open-Vocabulary Point Clouds 3D Object Detection from Only 2D Images
  • ACM MM ’24 학회 참관기
  • [CVPR 2024] EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
  • [ICML 2024 Oral] Chain of Code: Reasoning with a Language Model-Augmented Code Emulator
  • [AAAI 2024] SECap: Speech Emotion Captioning with Large Language Model
  • [CVPR 2023] Weakly Supervised Video Emotion Detection and Prediction via Cross-Modal Temporal Erasing Network

최신 댓글

  • [CVPR 2023] Weakly Supervised Video Emotion Detection and Prediction via Cross-Modal Temporal Erasing Network의 김 주연
  • [CVPR 2023] Weakly Supervised Video Emotion Detection and Prediction via Cross-Modal Temporal Erasing Network의 김 현우
  • [ECCV2024]R2-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding의 김 현우
  • [CVPR 2022] DN-DETR: Accelerate DETR Training by Introducing Query DeNoising의 박 성준
  • [arXiv 2024] DEPTH PRO: Sharp Monocular Metric Depth In Less Than a Second의 박 성준
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