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About Posts
[CVPR 2023]BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
  • Posted on: 10/29/2023 –
  • Comments: 6 Comments
[CVPR 2023]TexPose: Neural Texture Learning for Self-Supervised 6D Object Pose Estimation
  • Posted on: 10/08/2023 –
  • Comments: 8 Comments
[CVPR 2023]Object Pose Estimation with Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation
  • Posted on: 09/24/2023 –
  • Comments: 1 Comment
[CVPR 2022]Uni6D: A Unified CNN Framework without Projection Breakdown for 6D Pose Estimation
  • Posted on: 09/10/2023 –
  • Comments: 4 Comments
[CVPR 2021]DSC-PoseNet: Learning 6DoF Object Pose Estimation via Dual-scale Consistency
  • Posted on: 09/03/2023 –
  • Comments: 6 Comments
[RAL 2022] E2EK: End-to-End Regression Network Based on Keypoint for 6D Pose Estimation
  • Posted on: 08/27/2023 –
  • Comments: 4 Comments
[CVPR 2022]FS6D: Few-Shot 6D Pose Estimation of Novel Objects
  • Posted on: 08/20/2023 –
  • Comments: 8 Comments
KCCV 2023 참관기
  • Posted on: 08/13/2023 –
  • Comments: No Comments
[WACV 2023]CRT-6D: Fast 6D Object Pose Estimation with Cascaded Refinement Transformers
  • Posted on: 08/06/2023 –
  • Comments: 2 Comments
[CVPR 2022] SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation with Learnt Surface
  • Posted on: 07/30/2023 –
  • Comments: 2 Comments
Newer Posts 1 2 … 5 6 7 … 13 14 Older Posts

Conference Deadline

NEW POST

  • [CVPR2025] Masking meets Supervision: A Strong Learning Alliance
  • [CVPR 2024] PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection
  • [ICRA 2024] Universal Visual Decomposer: Long-Horizon Manipulation Made Easy
  • [CVPR 2025] DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval
  • [WACV 2024] DTrOCR: Decoder-only Transformer for Optical Character Recognition

New Comment

  1. 류 지연 on [WACV 2024] DTrOCR: Decoder-only Transformer for Optical Character Recognition07/02/2025

    안녕하세요. 질문 감사합니다. 1. 본 모델에서 학습 과정은 합성 데이터셋으로 사전학습하는 과정과 real 데이터셋으로 파인튜닝 단계로 나뉘는데 논문에서는 두 학습과정에서…

  2. 류 지연 on [WACV 2024] DTrOCR: Decoder-only Transformer for Optical Character Recognition07/01/2025

    안녕하세요 질문 남겨주셔서 감사합니다 논문에서는 CTR 데이터에 대한 결과와 비교하면서 STR의 경우 이미지 내 텍스트가 갖는 특징 자체가 보다 덜…

  3. 신 인택 on [CVPR2025] Masking meets Supervision: A Strong Learning Alliance07/01/2025

    안녕하세요 정민님 깔끔한 리뷰 감사합니다. 말씀하신 것처럼 약간 지도학습기반으로 다시 회귀하는 점이 장점이자 단점이라고 생각할 수 있을 것 같습니다. 제가…

  4. 이 상인 on [arXiv 2025] [CLS] Attention is All You Need for Training-Free Visual Token Pruning: Make VLM Inference Faster06/30/2025

    안녕하세요. 리뷰 읽어주셔서 감사합니다. 아, 네 제가 여태 몇 번 리뷰와 세미나를 이 주제로 하며 새로운 Pruning 전략이 아니면 짚고…

  5. 이 상인 on [arXiv 2025] [CLS] Attention is All You Need for Training-Free Visual Token Pruning: Make VLM Inference Faster06/30/2025

    안녕하세요. 리뷰 읽어주셔서 감사합니다. 제 생각컨데, 데이터셋 기반의 분석에 편향등의 오류가 분명 있을 수 있습니다. 또, 아래 주영님의 질문처럼 특정…

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