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/kerenfu/rdvs

공식 코드

Salient Object Detection in RGB-D Videos

https://github.com/kevalmorabia97/Object-and-Semantic-Part-Detection-pyTorch

공식 코드

Attention-based Joint Detection of Object and Semantic Part

https://github.com/kevalmorabia97/cova-web-object-detection

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CoVA: Context-aware Visual Attention for Webpage Information Extraction

https://github.com/kevin-klein/autarch-material

공식 코드

AutArch: An AI-assisted workflow for object detection and automated recording in archaeological catalogues

https://github.com/kevin-ssy/ViP

공식 코드

Visual Parser: Representing Part-whole Hierarchies with Transformers

https://github.com/kevinhkhsu/DA_detection

공식 코드

Progressive Domain Adaptation for Object Detection

https://github.com/keyu-tian/spark

공식 코드

Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling

https://github.com/kfoysalhaque/sawec

공식 코드

SAWEC: Sensing-Assisted Wireless Edge Computing

https://github.com/khanhnguyenuet/GCAME

공식 코드

G-CAME: Gaussian-Class Activation Mapping Explainer for Object Detectors

https://github.com/khurramHashmi/FeatEnHancer

공식 코드

FeatEnHancer: Enhancing Hierarchical Features for Object Detection and Beyond Under Low-Light Vision

https://github.com/kienduynguyen/boxer

공식 코드

BoxeR: Box-Attention for 2D and 3D Transformers

https://github.com/kingkung2016/gl-dmnet

공식 코드

Dual Mutual Learning Network with Global-local Awareness for RGB-D Salient Object Detection

https://github.com/kinpzz/udasod-upl

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Unsupervised Domain Adaptive Salient Object Detection Through Uncertainty-Aware Pseudo-Label Learning

https://github.com/kinredon/umt

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Unbiased Mean Teacher for Cross-domain Object Detection

https://github.com/kirill-vish/mixmask

공식 코드

MixMask: Revisiting Masking Strategy for Siamese ConvNets

https://github.com/kirkegaardlab/deeptangle

공식 코드

Fast spline detection in high density microscopy data

https://github.com/kirkegaardlab/deeptanglelabel

공식 코드

Fast spline detection in high density microscopy data

https://github.com/kist-csrc/densessd

공식 코드

Machine vision for vial positioning detection toward the safe automation of material synthesis

https://github.com/kitamoto-lab/digital-typhoon

공식 코드

Machine Learning for the Digital Typhoon Dataset: Extensions to Multiple Basins and New Developments in Representations and Tasks

https://github.com/kitware/mevid

공식 코드

MEVID: Multi-view Extended Videos with Identities for Video Person Re-Identification

https://github.com/kiyan-rezaee/systematic-literature-review-on-online-continual-learning

공식 코드

Online Continual Learning: A Systematic Literature Review of Approaches, Challenges, and Benchmarks

https://github.com/kkhoot/PAA

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Probabilistic Anchor Assignment with IoU Prediction for Object Detection

https://github.com/klayand/pcka

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Rethinking Centered Kernel Alignment in Knowledge Distillation

https://github.com/kmaag/Temporal-Uncertainty-Estimates

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Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates

https://github.com/kmbmjn/GaussianAttentionBias

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Understanding Gaussian Attention Bias of Vision Transformers Using Effective Receptive Fields

https://github.com/kobayashikanna01/probing_MLLM_rep

공식 코드

Probing Multimodal Large Language Models for Global and Local Semantic Representations

https://github.com/kodenii/imaginarynet

공식 코드

ImaginaryNet: Learning Object Detectors without Real Images and Annotations

https://github.com/konyul/FG-PFE

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Fine-Grained Pillar Feature Encoding Via Spatio-Temporal Virtual Grid for 3D Object Detection

https://github.com/kopp-j/clutter-ds

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Tackling Clutter in Radar Data -- Label Generation and Detection Using PointNet++

https://github.com/kostadinovshalon/oln-ssos

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Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis

https://github.com/kostas1515/FRACAL

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Fractal Calibration for long-tailed object detection

https://github.com/kostas1515/gol

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Long-tailed Instance Segmentation using Gumbel Optimized Loss

https://github.com/ku-cvlab/maskingdepth

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MaskingDepth: Masked Consistency Regularization for Semi-supervised Monocular Depth Estimation

https://github.com/kuanchihhuang/moma-m3t

공식 코드

Delving into Motion-Aware Matching for Monocular 3D Object Tracking

https://github.com/kuanchihhuang/monodtr

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MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer

https://github.com/kuanchihhuang/ptt

공식 코드

PTT: Point-Trajectory Transformer for Efficient Temporal 3D Object Detection

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