https://github.com/zyrant/cpdet3d
공식 코드Learning Class Prototypes for Unified Sparse Supervised 3D Object Detection
Papers with Code 아카이브
2D Classification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 27
- 평가표
- 0
- 보존된 평가 기록
- 0
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/zyrant/spgroup3d
공식 코드SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection
https://github.com/zyszxhy/fora
공식 코드FoRA: Low-Rank Adaptation Model beyond Multimodal Siamese Network
https://github.com/zyw-stu/CPA-Enhancer
공식 코드https://github.com/zyxelsa/InST
공식 코드https://github.com/zyxelsa/cast_pytorch
공식 코드Domain Enhanced Arbitrary Image Style Transfer via Contrastive Learning
https://github.com/zyyyyy0926/pointcformer_plus_pytorch
공식 코드PointCFormer: a Relation-based Progressive Feature Extraction Network for Point Cloud Completion
https://github.com/zzh-tech/ESTRNN
공식 코드Real-world Video Deblurring: A Benchmark Dataset and An Efficient Recurrent Neural Network
https://github.com/zzh-tech/RSCD
공식 코드Towards Rolling Shutter Correction and Deblurring in Dynamic Scenes
https://github.com/zzh-tech/bit
공식 코드Blur Interpolation Transformer for Real-World Motion from Blur
https://github.com/zzh-tju/zoneeval
공식 코드https://github.com/zzj403/BEV_Robust
공식 코드https://github.com/zzoay/jre-l
공식 코드https://github.com/zzr-idam/deblur
공식 코드Ultra-High-Definition Image Deblurring via Multi-scale Cubic-Mixer
https://github.com/zzr-idam/mixnet
공식 코드MixNet: Efficient Global Modeling for Ultra-High-Definition Image Restoration
https://github.com/zzwjames/dpgba
공식 코드Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective
https://github.com/zzy-zhou/renet
공식 코드RGB-Event Fusion for Moving Object Detection in Autonomous Driving
https://github.com/zzy816/com
공식 코드Curricular Object Manipulation in LiDAR-based Object Detection
https://github.com/zzy816/corp
공식 코드Co-Salient Object Detection with Co-Representation Purification
https://github.com/zzzhang-jx/docres
공식 코드DocRes: A Generalist Model Toward Unifying Document Image Restoration Tasks
https://gitlab.au.dk/maleci/opendr/ua-ab3dmot
공식 코드Uncertainty-Aware AB3DMOT by Variational 3D Object Detection
https://gitlab.au.dk/maleci/opendr/variational-voxel-3d-detetction
공식 코드Uncertainty-Aware AB3DMOT by Variational 3D Object Detection
https://gitlab.com/Avya/deepher2
공식 코드https://gitlab.com/CBDS/DeepSolaris
공식 코드https://gitlab.com/EAVISE/jetnet
공식 코드Super accurate low latency object detection on a surveillance UAV
https://gitlab.com/Ryukijano/ESRGAN_AND_YOLOV7
공식 코드https://gitlab.com/deepet/faket
공식 코드FakET: Simulating Cryo-Electron Tomograms with Neural Style Transfer
https://gitlab.com/dlr-dw/unraveling-anomalies-in-time
공식 코드https://gitlab.com/etaghvaei0098/covid-19-personal-protective-equipment-detection-using-real-time-deep-learning-methods
공식 코드COVID-19 personal protective equipment detection using real-time deep learning methods
https://gitlab.com/grains2/Faster-LTN
공식 코드Faster-LTN: a neuro-symbolic, end-to-end object detection architecture
https://gitlab.com/mcoavoux/statement_proof_matching
공식 코드https://gitlab.com/mihaicristianpirvu/pose2rgbd
공식 코드Pose2RGBD. Generating Depth and RGB images from absolute positions
https://gitlab.com/nct_tso_public/surgical-video-sim2real
공식 코드Long-Term Temporally Consistent Unpaired Video Translation from Simulated Surgical 3D Data
https://gitlab.com/paloha/redistributor
공식 코드https://gitlab.com/sustainable-continuum-monitoring/self-adaptive-moop
공식 코드An Energy-Aware Approach to Design Self-Adaptive AI-based Applications on the Edge
https://gitlab.com/viper-purdue/lic-pruning
공식 코드Structured Pruning and Quantization for Learned Image Compression
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.