https://github.com/gidariss/mrcnn-object-detection
공식 코드Object detection via a multi-region & semantic segmentation-aware CNN model
Papers with Code 아카이브
Object
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 0
- 보존된 평가 기록
- 0
Replace the cat with a British Shorthair cat of the breed with bulging yellow eyes
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/giddyyupp/coco-minitrain
공식 코드HoughNet: Integrating near and long-range evidence for bottom-up object detection
https://github.com/gist-ailab/QuBER
공식 코드High-Quality Unknown Object Instance Segmentation via Quadruple Boundary Error Refinement
https://github.com/gist-ailab/uoais
공식 코드Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion Modeling
https://github.com/gistairc/HS-SOD
공식 코드Hyperspectral Image Dataset for Benchmarking on Salient Object Detection
https://github.com/git-disl/EVA
공식 코드Parallel Detection for Efficient Video Analytics at the Edge
https://github.com/git-disl/TOG
공식 코드TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems
https://github.com/git-disl/emo
공식 코드Fast and Resource-Efficient Object Tracking on Edge Devices: A Measurement Study
https://github.com/gitmehrdad/sfsort
공식 코드SFSORT: Scene Features-based Simple Online Real-Time Tracker
https://github.com/gjj45/dams-detr
공식 코드https://github.com/gjj45/damsdet
공식 코드https://github.com/gkakogeorgiou/spot
공식 코드https://github.com/gkw0010/gtav_head-dataset
공식 코드https://github.com/gmum/LoCondA
공식 코드Modeling 3D Surface Manifolds with a Locally Conditioned Atlas
https://github.com/gmum/hyperplanes
공식 코드https://github.com/gnn-tracking/gnn_tracking
공식 코드https://github.com/gokyildirim/salmon_dataset
공식 코드https://github.com/goldoak/APnP
공식 코드AEP$n$P: A Less-constrained EP$n$P Solver for Pose Estimation with Anisotropic Scaling
https://github.com/goldoak/DMSR
공식 코드RGB-based Category-level Object Pose Estimation via Decoupled Metric Scale Recovery
https://github.com/goldoak/aepnp
공식 코드AEP$n$P: A Less-constrained EP$n$P Solver for Pose Estimation with Anisotropic Scaling
https://github.com/goodproj13/tf-blender
공식 코드TF-Blender: Temporal Feature Blender for Video Object Detection
https://github.com/google-research-datasets/Objectron
공식 코드Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose Annotations
https://github.com/google-research/cad-estate
공식 코드https://github.com/google-research/clevr_robot_env
공식 코드Language as an Abstraction for Hierarchical Deep Reinforcement Learning
https://github.com/google-research/corenet
공식 코드CoReNet: Coherent 3D scene reconstruction from a single RGB image
https://github.com/google-research/google-research
공식 코드https://github.com/google-research/google-research/tree/master/dreamfields
공식 코드https://github.com/google-research/google-research/tree/master/fvlm/dito
공식 코드Region-centric Image-Language Pretraining for Open-Vocabulary Detection
https://github.com/google-research/google-research/tree/master/invariant_slot_attention
공식 코드Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames
https://github.com/google-research/google-research/tree/master/slot_attention
공식 코드https://github.com/google-research/pix2seq
공식 코드https://github.com/google-research/scenic
공식 코드https://github.com/google-research/scenic/tree/main/scenic/projects/owl_vit
공식 코드Simple Open-Vocabulary Object Detection with Vision Transformers
https://github.com/google-research/slot-attention-video
공식 코드https://github.com/google-research/ssl_detection
공식 코드A Simple Semi-Supervised Learning Framework for Object Detection
https://github.com/google/automl
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.