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2D Classification

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전체 기법전체 데이터셋

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코드

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

https://github.com/divelab/dilated

공식 코드

Smoothed Dilated Convolutions for Improved Dense Prediction

https://github.com/diyiiyiii/StyTR-2

공식 코드

StyTr$^2$: Image Style Transfer with Transformers

https://github.com/djamahl99/findnpropagate

공식 코드

Find n' Propagate: Open-Vocabulary 3D Object Detection in Urban Environments

https://github.com/django-jiang/badchain

공식 코드

BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models

https://github.com/djghosh13/geneval

공식 코드

GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment

https://github.com/djiajunustc/H-23D_R-CNN

공식 코드

From Multi-View to Hollow-3D: Hallucinated Hollow-3D R-CNN for 3D Object Detection

https://github.com/djiajunustc/Voxel-R-CNN

공식 코드

Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection

https://github.com/djning/see_beyond_seeing

공식 코드

Robust 3D Object Detection from LiDAR-Radar Point Clouds via Cross-Modal Feature Augmentation

https://github.com/djordjened92/yudo

공식 코드

YUDO: YOLO for Uniform Directed Object Detection

https://github.com/dkadish/Style-Transfer-for-Object-Detection-in-Art

공식 코드

Improving Object Detection in Art Images Using Only Style Transfer

https://github.com/dkgupta90/re-siamnet

공식 코드

Rotation Equivariant Siamese Networks for Tracking

https://github.com/dki-lab/covid19-classification

공식 코드

Document Classification for COVID-19 Literature

https://github.com/dkoguciuk/ensemble_learning_for_point_clouds

공식 코드

3D Object Recognition with Ensemble Learning --- A Study of Point Cloud-Based Deep Learning Models

https://github.com/dkxocl/rosseta

공식 코드

Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism

https://github.com/dliu5812/ddf

공식 코드

Decompose to Adapt: Cross-domain Object Detection via Feature Disentanglement

https://github.com/dlr-mi/utrack

공식 코드

UTrack: Multi-Object Tracking with Uncertain Detections

https://github.com/dlut-dimt/Realworld-Underwater-Image-Enhancement-RUIE-Benchmark

공식 코드

Real-world Underwater Enhancement: Challenges, Benchmarks, and Solutions

https://github.com/dlut-dimt/tardal

공식 코드

Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection

https://github.com/dmlc/gluon-cv

공식 코드

Bag of Tricks for Image Classification with Convolutional Neural Networks

https://github.com/dmsquare/CalendarGNN

공식 코드

Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors

https://github.com/dmtjepa/dmtjepa

공식 코드

DMT-JEPA: Discriminative Masked Targets for Joint-Embedding Predictive Architecture

https://github.com/dobbersc/fundus-evaluation

공식 코드

Fundus: A Simple-to-Use News Scraper Optimized for High Quality Extractions

https://github.com/docf/multispectral-object-detection

공식 코드

Cross-Modality Fusion Transformer for Multispectral Object Detection

https://github.com/doem97/deblora

공식 코드

Learning De-Biased Representations for Remote-Sensing Imagery

https://github.com/dogregor/graph-fakenewsnet

공식 코드

Exploring Fake News Detection with Heterogeneous Social Media Context Graphs

https://github.com/dolphin0104/CFMDGAN

공식 코드

Continuous Facial Motion Deblurring

https://github.com/dom3442/leafonlysam

공식 코드

Leaf Only SAM: A Segment Anything Pipeline for Zero-Shot Automated Leaf Segmentation

https://github.com/dominikbeese/detectingstanceinscientificpapers

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Did AI get more negative recently?

https://github.com/dominikbeese/didaigetmorenegativerecently

공식 코드

Did AI get more negative recently?

https://github.com/donaldrr/simplenet

공식 코드

SimpleNet: A Simple Network for Image Anomaly Detection and Localization

https://github.com/dongchen06/label-efficient-in-agriculture

공식 코드

Label-Efficient Learning in Agriculture: A Comprehensive Review

https://github.com/dongchen06/scooterdet

공식 코드

Performance Evaluation of Real-Time Object Detection for Electric Scooters

https://github.com/dongfang-steven-yang/faraway-frustum

공식 코드

Faraway-Frustum: Dealing with Lidar Sparsity for 3D Object Detection using Fusion

https://github.com/donggong1/learn-optimizer-rgdn

공식 코드

Learning Deep Gradient Descent Optimization for Image Deconvolution

https://github.com/donglao/mindelay

공식 코드

Minimum Delay Object Detection From Video

https://github.com/dongnana777/bridging-non-co-occurrence

공식 코드

Bridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detection

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