Object
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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/jmpap/yolov2-tensorflow-2.0
https://github.com/jnan1/FlowVerify
Combining Deep Learning and Verification for Precise Object Instance Detection
https://github.com/jndeng/DACSDC-DeepZ
https://github.com/joaanna/something_else
Something-Else: Compositional Action Recognition with Spatial-Temporal Interaction Networks
https://github.com/jodumagpi/Xray-ObjSep-v1
https://github.com/joeylitalien/noise2noise-pytorch
https://github.com/johangenis/TF2.0-Advanced-Transfer-Learning-Project-1
https://github.com/joheras/darknet-colab
https://github.com/johnsebin97/darknet
https://github.com/jolibrain/caffe
Soft-NMS -- Improving Object Detection With One Line of Code
https://github.com/jonny4929/PaddleSeg_espnetv2
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network
https://github.com/jonnys1226/ego4d_asl
InternVideo-Ego4D: A Pack of Champion Solutions to Ego4D Challenges
https://github.com/jonvthvn90/Project
https://github.com/jooyounghun/AI-Team-5
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/josephkj/eli
https://github.com/jpjuvo/64-3D-RaSGAN
Improved Adversarial Systems for 3D Object Generation and Reconstruction
https://github.com/jpmerc/DTOID
https://github.com/jponttuset/mcg
Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation
https://github.com/jremillard/images-to-osm
https://github.com/jshaffer94247/Counting-Fish
https://github.com/jshermeyer/RFSR
https://github.com/jshermeyer/VDSR4Geo
The Effects of Super-Resolution on Object Detection Performance in Satellite Imagery
https://github.com/jshtok/RepMet
RepMet: Representative-based metric learning for classification and one-shot object detection
https://github.com/jskinn/rvchallenge-evaluation
https://github.com/jsll/pytorch_6dof-graspnet
6-DOF GraspNet: Variational Grasp Generation for Object Manipulation
https://github.com/judyye/ihoi
What's in your hands? 3D Reconstruction of Generic Objects in Hands
https://github.com/juergenlandauer/Maya-Challenge
https://github.com/junjieinkit/Towards-MOT
https://github.com/junkwhinger/adversarial_complementary_learning
Adversarial Complementary Learning for Weakly Supervised Object Localization
https://github.com/junsukchoe/ADL
Attention-based Dropout Layer for Weakly Supervised Object Localization
https://github.com/junwenkwan/junwenkwan
Object-Independent Human-to-Robot Handovers using Real Time Robotic Vision
https://github.com/junzhin/dgm-vlc
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
https://github.com/justld/EspnetV2_paddle
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network
https://github.com/jxhuang0508/RDA
Uncertainty-Aware Unsupervised Domain Adaptation in Object Detection
https://github.com/jxl152/Point-Transformer
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.