https://github.com/oulin1031esti/detect
Training-Time-Friendly Network for Real-Time Object Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Replace the cat with a British Shorthair cat of the breed with bulging yellow eyes
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Training-Time-Friendly Network for Real-Time Object Detection
Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding
Distilling Object Detectors with Fine-grained Feature Imitation
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
Unsupervised Learning of Object Keypoints for Perception and Control
POPE: 6-DoF Promptable Pose Estimation of Any Object, in Any Scene, with One Reference
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Domain Adaptation for Object Detection via Style Consistency
Multi-Object Representation Learning with Iterative Variational Inference
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
A Normalized Gaussian Wasserstein Distance for Tiny Object Detection
TrackDiffusion: Tracklet-Conditioned Video Generation via Diffusion Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.