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2D Classification

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코드

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

https://github.com/mut-deep/ir-lpr

공식 코드

IR-LPR: Large Scale of Iranian License Plate Recognition Dataset

https://github.com/mv-lab/AISP

공식 코드

Toward Efficient Deep Blind RAW Image Restoration

https://github.com/mv-lab/InstructIR

공식 코드

InstructIR: High-Quality Image Restoration Following Human Instructions

https://github.com/mv96/mm_extraction

공식 코드

Modular Multimodal Machine Learning for Extraction of Theorems and Proofs in Long Scientific Documents (Extended Version)

https://github.com/mvkolos/TRANSPR

공식 코드

TRANSPR: Transparency Ray-Accumulating Neural 3D Scene Point Renderer

https://github.com/mvme-hbut/faster-orefsdet

공식 코드

Faster OreFSDet : A Lightweight and Effective Few-shot Object Detector for Ore Images

https://github.com/mvme-hbut/sdd-fti-fdet

공식 코드

Spatial-wise Dynamic Distillation for MLP-like Efficient Visual Fault Detection of Freight Trains

https://github.com/mx-mark/dmjd

공식 코드

Disjoint Masking with Joint Distillation for Efficient Masked Image Modeling

https://github.com/mxbh/robust_object_detection

공식 코드

Robust Object Detection in Remote Sensing Imagery with Noisy and Sparse Geo-Annotations (Full Version)

https://github.com/mxzheng/trojvit

공식 코드

TrojViT: Trojan Insertion in Vision Transformers

https://github.com/myeclipse/musied

공식 코드

MUSIED: A Benchmark for Event Detection from Multi-Source Heterogeneous Informal Texts

https://github.com/myfavouritekk/T-CNN

공식 코드

T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos

https://github.com/myfavouritekk/vdetlib

공식 코드

Object Detection from Video Tubelets with Convolutional Neural Networks

https://github.com/mylove-xab/kddcupfinal

공식 코드

Text-Driven Neural Collaborative Filtering Model for Paper Source Tracing

https://github.com/myracheng/anthroscore

공식 코드

AnthroScore: A Computational Linguistic Measure of Anthropomorphism

https://github.com/myrthereuver/modeldecisionsstance

공식 코드

Investigating the Robustness of Modelling Decisions for Few-Shot Cross-Topic Stance Detection: A Preregistered Study

https://github.com/mystorm16/bsh-det3d

공식 코드

BSH-Det3D: Improving 3D Object Detection with BEV Shape Heatmap

https://github.com/mzeegers/DeepFODDataGenerator

공식 코드

A tomographic workflow to enable deep learning for X-ray based foreign object detection

https://github.com/n-friederich/airport_fence_inspection

공식 코드

Security Fence Inspection at Airports Using Object Detection

https://github.com/n-nejatishahidin/pose_from_mid-level

공식 코드

Object Pose Estimation using Mid-level Visual Representations

https://github.com/naamiinepal/smartphone_microscopy

공식 코드

Deep-learning Assisted Detection and Quantification of (oo)cysts of Giardia and Cryptosporidium on Smartphone Microscopy Images

https://github.com/nab170130/new_streamline

공식 코드

STREAMLINE: Streaming Active Learning for Realistic Multi-Distributional Settings

https://github.com/nadavborenstein/Iggy

공식 코드

How Did This Get Funded?! Automatically Identifying Quirky Scientific Achievements

https://github.com/nadavc220/semanticsegmentationinartpaintings

공식 코드

Semantic Segmentation in Art Paintings

https://github.com/nadeemlab/deepliif

공식 코드

An AI-Ready Multiplex Staining Dataset for Reproducible and Accurate Characterization of Tumor Immune Microenvironment

https://github.com/naivete5656/SCDTC

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Semi-supervised Cell Detection in Time-lapse Images Using Temporal Consistency

https://github.com/naivete5656/WSCTBFP

공식 코드

Weakly-Supervised Cell Tracking via Backward-and-Forward Propagation

https://github.com/najeebjebreel/dbalfa

공식 코드

Defending Against Backdoor Attacks by Layer-wise Feature Analysis

https://github.com/nalemadi/VME_CDSI_dataset_benchmark

공식 코드

VME: A Satellite Imagery Dataset and Benchmark for Detecting Vehicles in the Middle East and Beyond

https://github.com/namco0816/proxyqa

공식 코드

PROXYQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models

https://github.com/namhoonlee/snip-public

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SNIP: Single-shot Network Pruning based on Connection Sensitivity

https://github.com/namtuanly/MTL-TabNet

공식 코드

An End-to-End Multi-Task Learning Model for Image-based Table Recognition

https://github.com/nanboy-ronan/backdoor-fedgan

공식 코드

Backdoor Attack is a Devil in Federated GAN-based Medical Image Synthesis

https://github.com/nanh5837/lettucemots

공식 코드

Segmentation and Tracking of Vegetable Plants by Exploiting Vegetable Shape Feature for Precision Spray of Agricultural Robots

https://github.com/naomiex/mdha

공식 코드

MDHA: Multi-Scale Deformable Transformer with Hybrid Anchors for Multi-View 3D Object Detection

https://github.com/naoto0804/cross-domain-detection

공식 코드

Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation

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