https://github.com/SeanChenxy/TDRN
공식 코드Joint Anchor-Feature Refinement for Real-Time Accurate Object Detection in Images and Videos
Papers with Code 아카이브
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/SeanChenxy/TSSD-OTA
공식 코드https://github.com/Sekeh-Lab/FogGuard
공식 코드https://github.com/Sekunde/3D-SIS
공식 코드https://github.com/Sentient07/HeadHunter--T
공식 코드https://github.com/SeungjunNah/DeepDeblur-PyTorch
공식 코드Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring
https://github.com/SeyedAmirTafrishi/LCS_Filter
공식 코드Line-Circle-Square (LCS): A Multilayered Geometric Filter for Edge-Based Detection
https://github.com/ShangHua-Gao/RFNext
공식 코드RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks
https://github.com/ShangHua-Gao/SOD100K
공식 코드Highly Efficient Salient Object Detection with 100K Parameters
https://github.com/Shank2358/GGHL
공식 코드A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object Detection
https://github.com/Shanks0465/Localized_SuperResolution_Foreground
공식 코드Localized Super Resolution for Foreground Images using U-Net and MR-CNN
https://github.com/ShaohuiLin/SSR
공식 코드Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning
https://github.com/ShaoqingRen/faster_rcnn
공식 코드Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/Sharath-girish/LTH-ObjectRecognition
공식 코드https://github.com/ShawkhIbneRashid/medical-images-sr
공식 코드Single MR Image Super-Resolution using Generative Adversarial Network
https://github.com/Sheldon04/CABM-pytorch
공식 코드CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network with Large Input
https://github.com/ShenSuanZiZhen/NIID_Person_Detection
공식 코드NIPD: A Federated Learning Person Detection Benchmark Based on Real-World Non-IID Data
https://github.com/ShenZheng2000/SAPNet-for-image-deraining
공식 코드SAPNet: Segmentation-Aware Progressive Network for Perceptual Contrastive Deraining
https://github.com/ShiQiu0419/attentions_in_3D_detection
공식 코드Investigating Attention Mechanism in 3D Point Cloud Object Detection
https://github.com/ShoufaChen/CycleMLP
공식 코드https://github.com/ShramanPramanick/VoLTA
공식 코드VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment
https://github.com/ShuLiu1993/PANet
공식 코드https://github.com/ShuhanChen/PGAR_ECCV20
공식 코드https://github.com/ShuhangGu/DASR
공식 코드Unsupervised Real-world Image Super Resolution via Domain-distance Aware Training
https://github.com/Simon-Lepage/LRVSF-Benchmark
공식 코드LRVS-Fashion: Extending Visual Search with Referring Instructions
https://github.com/Simula-COMPLEX/pure
공식 코드Prediction Surface Uncertainty Quantification in Object Detection Models for Autonomous Driving
https://github.com/Sina-Mohammadi/DFNet
공식 코드DFNet: Discriminative feature extraction and integration network for salient object detection
https://github.com/So-Cool/bLIMEy
공식 코드https://github.com/SoheilaHatami/Face-Mask-Detection
공식 코드Wearing face mask detection using deep learning through COVID-19 pandemic
https://github.com/Sompote/YOLO9tr
공식 코드https://github.com/SonyResearch/RAW-Diffusion
공식 코드RAW-Diffusion: RGB-Guided Diffusion Models for High-Fidelity RAW Image Generation
https://github.com/SparklingH/BloomScene
공식 코드BloomScene: Lightweight Structured 3D Gaussian Splatting for Crossmodal Scene Generation
https://github.com/StarsThu2016/ApproxDet
공식 코드ApproxDet: Content and Contention-Aware Approximate Object Detection for Mobiles
https://github.com/StevenGrove/DynamicHead
공식 코드https://github.com/StevenGrove/LearnableTreeFilterV2
공식 코드Rethinking Learnable Tree Filter for Generic Feature Transform
https://github.com/StiphyJay/FastPillars
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.