https://github.com/lyqcom/fasterrcnn-fpn-dcn
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Papers with Code 아카이브
Object Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 39
- 평가표
- 124
- 보존된 평가 기록
- 977
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/lyqcom/icnet
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
https://github.com/lyqcom/models-master
https://github.com/lyqcom/rexnet
https://github.com/lyqcom/shufflenetv2
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
https://github.com/lyt910522/Dispersion_reduction
Enhancing Cross-task Transferability of Adversarial Examples with Dispersion Reduction
https://github.com/lyxok1/Tiny-DSOD
Tiny-DSOD: Lightweight Object Detection for Resource-Restricted Usages
https://github.com/lyxxn0414/test-data-generation
RandAugment: Practical automated data augmentation with a reduced search space
https://github.com/lzccccc/3d-bounding-box-estimation-for-autonomous-driving
https://github.com/lzh420202/FCOSR_TensorRT_Inference
FCOSR: A Simple Anchor-free Rotated Detector for Aerial Object Detection
https://github.com/lzrobots/dgmn
RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free
https://github.com/lzw-lzw/awesome-remote-sensing-vision-language-models
Vision-Language Models in Remote Sensing: Current Progress and Future Trends
https://github.com/lzx1413/PytorchSSD
https://github.com/m-parchami/3DVehicleDetection
https://github.com/ma7555/Augz
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
https://github.com/mabhay3420/Deep-Into-CNN
https://github.com/mac-automl/ompq
BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction
https://github.com/machine-learning-glossary/glossary
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/machinelearning-goettingen/EfficientNet-ModelScaling
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
https://github.com/maciejdomagala/DLWP_notes
https://github.com/macomino/TFM
https://github.com/madamak/ultrapy-yolov3-chess
https://github.com/madrylab/pretraining-distribution-shift-robustness
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/magicsunday/pico
Object Detection with Pixel Intensity Comparisons Organized in Decision Trees
https://github.com/magnificent1208/r3det-on-mmdetection
https://github.com/mahavir-GPI/yolov3
https://github.com/mahdi-darvish/Cloud_Segmentation_using_Mask_R-CNN
https://github.com/mahdi-darvish/centermask
https://github.com/mahmoodlab/hest
https://github.com/mahmoudnafifi/11K-Hands
11K Hands: Gender recognition and biometric identification using a large dataset of hand images
https://github.com/maiminh1996/YOLOv3-tensorflow
https://github.com/mainaksingha01/applenet
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/mainaksingha01/odg-clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/maituduy/Mxnet_MobileNet
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/makatx/YOLO_ResNet
https://github.com/makefile/DCR
Decoupled Classification Refinement: Hard False Positive Suppression for Object Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.