Papers with Code 아카이브

Object Detection

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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/awaisrauf/borg

공식 코드

BOrg: A Brain Organoid-Based Mitosis Dataset for Automatic Analysis of Brain Diseases

https://github.com/axin1301/satellite-imagery-dataset

공식 코드

A Satellite Imagery Dataset for Long-Term Sustainable Development in United States Cities

https://github.com/ayanban011/graphkd

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GraphKD: Exploring Knowledge Distillation Towards Document Object Detection with Structured Graph Creation

https://github.com/aybora/CVPR2020-Anti-UAV-OGAM-Correction

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Effect of Annotation Errors on Drone Detection with YOLOv3

https://github.com/aybora/Semi-Automatic-Video-Annotation-OGAM

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Semi-Automatic Annotation For Visual Object Tracking

https://github.com/aymanbegh/benchmarking-performance

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Benchmarking performance of object detection under image distortions in an uncontrolled environment

https://github.com/aymanbegh/cd-coco

공식 코드

CD-COCO: A Versatile Complex Distorted COCO Database for Scene-Context-Aware Computer Vision

https://github.com/aymanbegh/hybrid-gcnn-cnn

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A New Lightweight Hybrid Graph Convolutional Neural Network -- CNN Scheme for Scene Classification using Object Detection Inference

https://github.com/ayushjain1144/SeeingByMoving

공식 코드

Move to See Better: Self-Improving Embodied Object Detection

https://github.com/azadis/LDDP

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Learning Detection with Diverse Proposals

https://github.com/azhuantou/hssda

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Hierarchical Supervision and Shuffle Data Augmentation for 3D Semi-Supervised Object Detection

https://github.com/azuma164/defense-prefix

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Defense-Prefix for Preventing Typographic Attacks on CLIP

https://github.com/b-faye/lightmdetr

공식 코드

A Lightweight Modular Framework for Low-Cost Open-Vocabulary Object Detection Training

https://github.com/baaivision/eva

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EVA: Exploring the Limits of Masked Visual Representation Learning at Scale

https://github.com/baneitixiaomai/mirv

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Mutual Information Regularization for Weakly-supervised RGB-D Salient Object Detection

https://github.com/bardia-az/ppa-code

공식 코드

Privacy-Preserving Autoencoder for Collaborative Object Detection

https://github.com/barisbatuhan/dass_det_inference

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Domain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in Drawings

https://github.com/barisbatuhan/dass_detector

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Domain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in Drawings

https://github.com/barwojcik/hard_hats

공식 코드

Hard hat wearing detection based on head keypoint localization

https://github.com/baurst/liso

공식 코드

LISO: Lidar-only Self-Supervised 3D Object Detection

https://github.com/baxiyi/dut-useg

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An Underwater Image Semantic Segmentation Method Focusing on Boundaries and a Real Underwater Scene Semantic Segmentation Dataset

https://github.com/bbdjj/CGCOD

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CGCOD: Class-Guided Camouflaged Object Detection

https://github.com/bbepoch/HoiTransformer

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End-to-End Human Object Interaction Detection with HOI Transformer

https://github.com/bcmi/Awesome-Weak-Shot-Learning

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Weak Novel Categories without Tears: A Survey on Weak-Shot Learning

https://github.com/bcmi/tramas-weak-shot-object-detection

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Mixed Supervised Object Detection by Transferring Mask Prior and Semantic Similarity

https://github.com/bcv-uniandes/stride

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STRIDE: Street View-based Environmental Feature Detection and Pedestrian Collision Prediction

https://github.com/beckschen/transmix

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TransMix: Attend to Mix for Vision Transformers

https://github.com/beiyan1911/players-iod

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Refined Response Distillation for Class-Incremental Player Detection

https://github.com/believeinlain/asynch-cv

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Real-Time Event-Based Tracking and Detection for Maritime Environments

https://github.com/bellatong/meunet

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Multi-scale Edge-based U-shape Network for Salient Object Detection

https://github.com/bellybeauty/mdsam

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Multi-Scale and Detail-Enhanced Segment Anything Model for Salient Object Detection

https://github.com/ben57882/c2fnet-tscvt

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Camouflaged Object Detection via Context-aware Cross-level Fusion

https://github.com/benbergner/cropr

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Token Cropr: Faster ViTs for Quite a Few Tasks

https://github.com/benjaminrwilson/range-view-3d-detection

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What Matters in Range View 3D Object Detection

https://github.com/berkeley-hipie/hipie

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Hierarchical Open-vocabulary Universal Image Segmentation

https://github.com/bertinetto/siamese-fc

공식 코드

Fully-Convolutional Siamese Networks for Object Tracking

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