Papers with Code 아카이브

2D Object Detection

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하위 태스크

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평가표

20

보존된 평가 기록

57

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/rd20karim/mb-ores

공식 코드

MB-ORES: A Multi-Branch Object Reasoner for Visual Grounding in Remote Sensing

https://github.com/re-owod/re-owod

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Revisiting Open World Object Detection

https://github.com/reactivetype/simrod

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SimROD: A Simple Adaptation Method for Robust Object Detection

https://github.com/realtime-intelligence/evrt-detr

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EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision

https://github.com/redaigc/cq-dino

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CQ-DINO: Mitigating Gradient Dilution via Category Queries for Vast Vocabulary Object Detection

https://github.com/redwankarimsony/weightperturbation-msu

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Investigating Weight-Perturbed Deep Neural Networks With Application in Iris Presentation Attack Detection

https://github.com/reglab/land-application-detection

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Detecting Environmental Violations with Satellite Imagery in Near Real Time: Land Application under the Clean Water Act

https://github.com/remaro-network/kd-yolox-vit

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Knowledge Distillation in YOLOX-ViT for Side-Scan Sonar Object Detection

https://github.com/remaro-network/rosar-framework

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ROSAR: An Adversarial Re-Training Framework for Robust Side-Scan Sonar Object Detection

https://github.com/renjithk4/assemai

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AssemAI: Interpretable Image-Based Anomaly Detection for Manufacturing Pipelines

https://github.com/renll/RSAM

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Recurrent Soft Attention Model for Common Object Recognition

https://github.com/renmengye/imageqa-public

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Exploring Models and Data for Image Question Answering

https://github.com/retkowsky/florence-2

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Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks

https://github.com/revisitq/Pseudo-Stereo-3D

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Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving

https://github.com/rezafuru/the-fool

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FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature Compression

https://github.com/rfonod/geo-trax

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Advanced computer vision for extracting georeferenced vehicle trajectories from drone imagery

https://github.com/rgeirhos/Stylized-ImageNet

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ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

https://github.com/riaduli/thresholded_event_vision_face_dataset

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Descriptor: Face Detection Dataset for Programmable Threshold-Based Sparse-Vision

https://github.com/riblidezso/frcnn_cad

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Detecting and classifying lesions in mammograms with Deep Learning

https://github.com/ricardooyoung/versatileteacher

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Versatile Teacher: A Class-aware Teacher-student Framework for Cross-domain Adaptation

https://github.com/riced2klab/audubon_f21

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Deep object detection for waterbird monitoring using aerial imagery

https://github.com/richardmarcus/synth-it-like-kitti

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Synth It Like KITTI: Synthetic Data Generation for Object Detection in Driving Scenarios

https://github.com/ricupa/mtml-learn-how-to-adapt-to-unseen-tasks

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Multi-Task Meta Learning: learn how to adapt to unseen tasks

https://github.com/rishabbala/contrastive_learning_for_object_detection

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Contrastive Learning for OOD in Object detection

https://github.com/rishavpramanik/maskedmultiqueryslot

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Masked Multi-Query Slot Attention for Unsupervised Object Discovery

https://github.com/rizavelioglu/fashionfail

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FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation

https://github.com/rmcong/CoADNet_NeurIPS20

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CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection

https://github.com/rmcong/DAFNet_TIP20

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Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images

https://github.com/rmcong/EORSSD-dataset

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Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images

https://github.com/rmcong/Hybrid-Label-SOD_TCSVT2022

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A Weakly Supervised Learning Framework for Salient Object Detection via Hybrid Labels

https://github.com/rmkemker/RIT-18

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Algorithms for Semantic Segmentation of Multispectral Remote Sensing Imagery using Deep Learning

https://github.com/rnjtsh/graphical-object-detector

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Graphical Object Detection in Document Images

https://github.com/ro-ya-cv4africa/acvsurvey

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The State of Computer Vision Research in Africa

https://github.com/roatienza/agmax

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Improving Model Generalization by Agreement of Learned Representations from Data Augmentation

https://github.com/robert-xiaoqiang/ds-net

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Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Images

https://github.com/robertwyq/frustum

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FrustumFormer: Adaptive Instance-aware Resampling for Multi-view 3D Detection

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.