Papers with Code 아카이브
2D Object Detection
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/nesl/adversarial_audio
공식 코드Did you hear that? Adversarial Examples Against Automatic Speech Recognition
https://github.com/nesl/eagle_ptz_cameras
공식 코드Eagle: End-to-end Deep Reinforcement Learning based Autonomous Control of PTZ Cameras
https://github.com/neu-vi/diag-hoi
공식 코드https://github.com/neurai-lab/mono-pose-attack
공식 코드https://github.com/neurai-lab/mt-sfmlearner
공식 코드https://github.com/new-stone-object/DNTD
공식 코드https://github.com/newsdata/SoccerDB
공식 코드SoccerDB: A Large-Scale Database for Comprehensive Video Understanding
https://github.com/nexer8/se3d
공식 코드SE3D: A Framework For Saliency Method Evaluation In 3D Imaging
https://github.com/nexiakele/AMSODFirst
공식 코드https://github.com/nguyentthong/Paper-VLP
공식 코드https://github.com/nhcha6/classdistributionprediction
공식 코드Predicting Class Distribution Shift for Reliable Domain Adaptive Object Detection
https://github.com/nian-liu/PiCANet
공식 코드PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection
https://github.com/nicaogr/Mi_max
공식 코드https://github.com/nicholascg/glare_dataset
공식 코드https://github.com/nicholasli1995/s-3d-rcnn
공식 코드Joint stereo 3D object detection and implicit surface reconstruction
https://github.com/nicholasli1995/snvc
공식 코드https://github.com/nickgkan/butd_detr
공식 코드Bottom Up Top Down Detection Transformers for Language Grounding in Images and Point Clouds
https://github.com/nicolaihaeni/MinneApple
공식 코드MinneApple: A Benchmark Dataset for Apple Detection and Segmentation
https://github.com/nifangbaage/explicit-visual-prompt
공식 코드Explicit Visual Prompting for Low-Level Structure Segmentations
https://github.com/nightkeepers/ci-ssod
공식 코드Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection
https://github.com/nightmare-n/graphrcnn
공식 코드Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph
https://github.com/nightsnack/YOLObile
공식 코드YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design
https://github.com/nikhel1/gal-deformable-detr
공식 코드https://github.com/nikhel1/gal-detr
공식 코드https://github.com/nikhel1/gal-dino
공식 코드https://github.com/niko-k98/awesome-list-federated-learning-review
공식 코드Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation
https://github.com/nikolajkb/furiganadetection
공식 코드https://github.com/nikosefth/im2rbte
공식 코드Edge Augmentation for Large-Scale Sketch Recognition without Sketches
https://github.com/nish03/ffs
공식 코드Normalizing Flow based Feature Synthesis for Outlier-Aware Object Detection
https://github.com/nizhenliang/Dual-Relation-Knowledge-Distillation
공식 코드https://github.com/njohnson99/slice-discovery-human-eval
공식 코드Where Does My Model Underperform? A Human Evaluation of Slice Discovery Algorithms
https://github.com/nkotani/pointanywhere
공식 코드Point Anywhere: Directed Object Estimation from Omnidirectional Images
https://github.com/nkusyl/evit
공식 코드EViT: An Eagle Vision Transformer with Bi-Fovea Self-Attention
https://github.com/nmaac/acon
공식 코드https://github.com/nmndeep/robust-segmentation
공식 코드Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.