Papers with Code 아카이브

Object Detection

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전체 기법전체 데이터셋

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/jiayuanwang-jw/yolov8-multi-task

공식 코드

You Only Look at Once for Real-time and Generic Multi-Task

https://github.com/jiayuzou2020/diffbev

공식 코드

DiffBEV: Conditional Diffusion Model for Bird's Eye View Perception

https://github.com/jichengyuan/cooperitive_students

공식 코드

Cooperative Students: Navigating Unsupervised Domain Adaptation in Nighttime Object Detection

https://github.com/jimas95/CMinMax

공식 코드

cMinMax: A Fast Algorithm to Find the Corners of an N-dimensional Convex Polytope

https://github.com/jimmyma99/sarchat

공식 코드

SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image Interpretation

https://github.com/jin-s13/unifs

공식 코드

UniFS: Universal Few-shot Instance Perception with Point Representations

https://github.com/jinga-lala/damex

공식 코드

DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets

https://github.com/jingy1yu/scalablemap

공식 코드

ScalableMap: Scalable Map Learning for Online Long-Range Vectorized HD Map Construction

https://github.com/jingyangxiang/maxq

공식 코드

MaxQ: Multi-Axis Query for N:M Sparsity Network

https://github.com/jingyi0000/bimem

공식 코드

Black-box Unsupervised Domain Adaptation with Bi-directional Atkinson-Shiffrin Memory

https://github.com/jingzhang617/ebmgsod

공식 코드

An Energy-Based Prior for Generative Saliency

https://github.com/jinhseo/od-wscl

공식 코드

Object Discovery via Contrastive Learning for Weakly Supervised Object Detection

https://github.com/jinlong17/advgps

공식 코드

AdvGPS: Adversarial GPS for Multi-Agent Perception Attack

https://github.com/jinlong17/bds-v2v

공식 코드

Breaking Data Silos: Cross-Domain Learning for Multi-Agent Perception from Independent Private Sources

https://github.com/jinlong17/da-detect

공식 코드

Domain Adaptive Object Detection for Autonomous Driving under Foggy Weather

https://github.com/jinlong17/v2vlc

공식 코드

Learning for Vehicle-to-Vehicle Cooperative Perception under Lossy Communication

https://github.com/jinyang06/SamGOP

공식 코드

Boosting Gaze Object Prediction via Pixel-level Supervision from Vision Foundation Model

https://github.com/jinyuanli0012/pgim

공식 코드

LLMs as Bridges: Reformulating Grounded Multimodal Named Entity Recognition

https://github.com/jiwei0921/dsu

공식 코드

Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection

https://github.com/jiyuuchc/lacss

공식 코드

Point-supervised Single-cell Segmentation via Collaborative Knowledge Sharing

https://github.com/jiyuuchc/lacss_jax

공식 코드

Point-supervised Single-cell Segmentation via Collaborative Knowledge Sharing

https://github.com/jkli1998/t-car

공식 코드

Zero-Shot Scene Graph Generation via Triplet Calibration and Reduction

https://github.com/jmiemirza/dilam

공식 코드

Sit Back and Relax: Learning to Drive Incrementally in All Weather Conditions

https://github.com/jmiemirza/dua

공식 코드

The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization

https://github.com/jo-wang/dpo

공식 코드

DPO: Dual-Perturbation Optimization for Test-time Adaptation in 3D Object Detection

https://github.com/joangog/object-detection

공식 코드

A Review and Implementation of Object Detection Models and Optimizations for Real-time Medical Mask Detection during the COVID-19 Pandemic

https://github.com/jocelyney/gdnet

공식 코드

Guidance Disentanglement Network for Optics-Guided Thermal UAV Image Super-Resolution

https://github.com/joe-siyuan-qiao/Batch-Channel-Normalization

공식 코드

Rethinking Normalization and Elimination Singularity in Neural Networks

https://github.com/joe-siyuan-qiao/DetectoRS

공식 코드

DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution

https://github.com/joe-siyuan-qiao/WeightStandardization

공식 코드

Micro-Batch Training with Batch-Channel Normalization and Weight Standardization

https://github.com/joeduman/Thresholded_event-based-crossing-dataset

공식 코드

Event-Based Crossing Dataset (EBCD)

https://github.com/joellliu/segmentandcomplete

공식 코드

Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection

https://github.com/joerowelll/comp0132_rjxz25

공식 코드

Semantic Validation in Structure from Motion

https://github.com/johannestheo/trapped-in-texture-bias

공식 코드

Trapped in texture bias? A large scale comparison of deep instance segmentation

https://github.com/johnmaijer/x-few-_cd-fsod

공식 코드

NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results

https://github.com/johnwuzh/uc-owod

공식 코드

UC-OWOD: Unknown-Classified Open World Object Detection

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