Papers with Code 아카이브

2D Object Detection

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전체 기법전체 데이터셋

하위 태스크

15

평가표

20

보존된 평가 기록

57

코드

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

https://github.com/wxzs5/direct-pretraining

공식 코드

Rethinking Training from Scratch for Object Detection

https://github.com/wyf-accept/backtoreality

공식 코드

Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label Enhancement

https://github.com/wyn430/wood

공식 코드

WOOD: Wasserstein-based Out-of-Distribution Detection

https://github.com/wyze-AI/AdaptiveDistillation

공식 코드

Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation

https://github.com/wzmsltw/painttransformer

공식 코드

Paint Transformer: Feed Forward Neural Painting with Stroke Prediction

https://github.com/wzq016/pine

공식 코드

Eliminating Position Bias of Language Models: A Mechanistic Approach

https://github.com/wzzheng/hass

공식 코드

Hardness-Aware Scene Synthesis for Semi-Supervised 3D Object Detection

https://github.com/xahidbuffon/SVAM-Net

공식 코드

SVAM: Saliency-guided Visual Attention Modeling by Autonomous Underwater Robots

https://github.com/xahidbuffon/funie-gan

공식 코드

Fast Underwater Image Enhancement for Improved Visual Perception

https://github.com/xai4sar/pgd

공식 코드

Physics-Guided Detector for SAR Airplanes

https://github.com/xavibou/ovdsat

공식 코드

Exploring Robust Features for Few-Shot Object Detection in Satellite Imagery

https://github.com/xaviergrool/fgfusion

공식 코드

FGFusion: Fine-Grained Lidar-Camera Fusion for 3D Object Detection

https://github.com/xavysp/DexiNed

공식 코드

Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection

https://github.com/xavysp/teed

공식 코드

Tiny and Efficient Model for the Edge Detection Generalization

https://github.com/xharlie/btcdet

공식 코드

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

https://github.com/xiangchenyin/pe-yolo

공식 코드

PE-YOLO: Pyramid Enhancement Network for Dark Object Detection

https://github.com/xiangtodayeatswhat/eaglevision

공식 코드

EagleVision: Object-level Attribute Multimodal LLM for Remote Sensing

https://github.com/xiangxu-0103/lima

공식 코드

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations

https://github.com/xiangyu-gao/radar-multiple-perspective-object-detection

공식 코드

RAMP-CNN: A Novel Neural Network for Enhanced Automotive Radar Object Recognition

https://github.com/xiaoaoran/polarmix

공식 코드

PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds

https://github.com/xiaochen925/caf-yolo

공식 코드

CAF-YOLO: A Robust Framework for Multi-Scale Lesion Detection in Biomedical Imagery

https://github.com/xiaodetection/learning-heavily-degraed-prior

공식 코드

Learning Heavily-Degraded Prior for Underwater Object Detection

https://github.com/xiaofang007/cto

공식 코드

Rethinking Boundary Detection in Deep Learning-Based Medical Image Segmentation

https://github.com/xiaofeng-life/icdehazing

공식 코드

Illumination Controllable Dehazing Network based on Unsupervised Retinex Embedding

https://github.com/xiaofeng94/gen-enhanced-negs

공식 코드

Generating Enhanced Negatives for Training Language-Based Object Detectors

https://github.com/xiaofeng94/sas-det

공식 코드

Taming Self-Training for Open-Vocabulary Object Detection

https://github.com/xiaofeng94/vl-plm

공식 코드

Exploiting Unlabeled Data with Vision and Language Models for Object Detection

https://github.com/xiaogang00/smg-llie

공식 코드

Low-Light Image Enhancement via Structure Modeling and Guidance

https://github.com/xiaohao-xu/unified-pretrain-ad

공식 코드

Learning Shared RGB-D Fields: Unified Self-supervised Pre-training for Label-efficient LiDAR-Camera 3D Perception

https://github.com/xiaohaoChen/rrc_detection

공식 코드

Accurate Single Stage Detector Using Recurrent Rolling Convolution

https://github.com/xiaohulugo/ScAR-Scaling-Adversarial-Robustness-for-LiDAR-Object-Detection

공식 코드

ScAR: Scaling Adversarial Robustness for LiDAR Object Detection

https://github.com/xiaohulugo/scar-iros2023

공식 코드

ScAR: Scaling Adversarial Robustness for LiDAR Object Detection

https://github.com/xiaohulugo/t-ro2024-dali

공식 코드

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising

https://github.com/xiaojie1017/Human-Parts

공식 코드

Detector-in-Detector: Multi-Level Analysis for Human-Parts

https://github.com/xiaolonw/adversarial-frcnn

공식 코드

A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection

https://github.com/xiaomabufei/dowb

공식 코드

Detecting the open-world objects with the help of the Brain

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