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/serengil/retinaface
https://github.com/serenos/lwsis
https://github.com/serenos/nuinsseg
https://github.com/serre-lab/harmonization
Harmonizing the object recognition strategies of deep neural networks with humans
https://github.com/serre-lab/meta-predictor
Harmonizing the object recognition strategies of deep neural networks with humans
https://github.com/seungryong/FCSS
FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence
https://github.com/seungwonoh5/Universal_Autonomous_Detection
Resilience of Autonomous Vehicle Object Category Detection to Universal Adversarial Perturbations
https://github.com/sevakon/efficientdet
https://github.com/sgrvinod/a-pytorch-tutorial-to-object-detection
https://github.com/sh4175515/PointTransformer
https://github.com/shallowtoil/DROL
https://github.com/shamitlal/CoCoNets
https://github.com/shanky1947/YOLOv3-Darknet-Custom-Object-Detection
https://github.com/shanmo/OrcVIO-Darknet-ROS
OrcVIO: Object residual constrained Visual-Inertial Odometry
https://github.com/shanmo/OrcVIO-Object-Tracking
OrcVIO: Object residual constrained Visual-Inertial Odometry
https://github.com/shanshuo/R2-MLP
MVT: Multi-view Vision Transformer for 3D Object Recognition
https://github.com/shaohuadong2021/dplnet
https://github.com/shashankvkt/video_object_segmentation
https://github.com/shashigharti/secure-privateai-scholarship-challenge
https://github.com/shashwat14/UnifiedPoseEstimation
H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions
https://github.com/shaundsouza/parser-triples
https://github.com/shayandaneshvar/gui-element-detection
https://github.com/shayeree96/Adversial-Attacks-on-densely-fused-point-clouds-for-6D-Pose-Estimation
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
https://github.com/shengyu-meng/dreamfields-3D
https://github.com/shenyunhang/caffe-fwsl
https://github.com/sheqi/Continual_Learning_CV
OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep Learning
https://github.com/shi-jian/shapenet-intrinsics
Learning Non-Lambertian Object Intrinsics across ShapeNet Categories
https://github.com/shichaoy/cuboid_detect
https://github.com/shichaoy/matlab_cuboid_detect
https://github.com/shighghyujie/infrared_patch_attack
Physically Adversarial Infrared Patches with Learnable Shapes and Locations
https://github.com/shihaibi/MV3D
Multi-View 3D Object Detection Network for Autonomous Driving
https://github.com/shikorab/SceneGraph
https://github.com/shikorab/tf-faster-rcnn
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/shivam-raj/detector
https://github.com/shkim960520/YOLO-v1-for-studying
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.