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2D Classification

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

https://github.com/TSKumarage/J-Guard

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J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News

https://github.com/TUMFTM/CameraRadarFusionNet

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A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection

https://github.com/TUMFTM/RadarVoxelFusionNet

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Radar Voxel Fusion for 3D Object Detection

https://github.com/TZWwww/PROPHET

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PROPHET: An Inferable Future Forecasting Benchmark with Causal Intervened Likelihood Estimation

https://github.com/TaatiTeam/pain_detection_demo

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Unobtrusive Pain Monitoring in Older Adults with Dementia using Pairwise and Contrastive Training

https://github.com/TajaKuzman/IPTC-Media-Topic-Classification

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LLM Teacher-Student Framework for Text Classification With No Manually Annotated Data: A Case Study in IPTC News Topic Classification

https://github.com/Tajamul21/Grounded_Teacher

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Context Aware Grounded Teacher for Source Free Object Detection

https://github.com/TalSchuster/TokenMasker

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Automatic Fact-guided Sentence Modification

https://github.com/Talented-Q/Restorer

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Restorer: Removing Multi-Degradation with All-Axis Attention and Prompt Guidance

https://github.com/Tencent/tencent-ml-images

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Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning

https://github.com/TencentYoutuResearch/AnomalyDetection-SoftPatch

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SoftPatch+: Fully Unsupervised Anomaly Classification and Segmentation

https://github.com/TencentYoutuResearch/PedestrianDetection-NohNMS

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NOH-NMS: Improving Pedestrian Detection by Nearby Objects Hallucination

https://github.com/TenneyHu/CrossLingualAttack

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CL-Attack: Textual Backdoor Attacks via Cross-Lingual Triggers

https://github.com/Tete-Xiao/ReSim

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Region Similarity Representation Learning

https://github.com/TheBangis/hausa_corpus

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Who Wrote This? Identifying Machine vs Human-Generated Text in Hausa

https://github.com/TheShadow29/zsgnet-pytorch

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Zero-Shot Grounding of Objects from Natural Language Queries

https://github.com/Thinklab-SJTU/CSL_RetinaNet_Tensorflow

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On the Arbitrary-Oriented Object Detection: Classification based Approaches Revisited

https://github.com/Thinklab-SJTU/DCL_RetinaNet_Tensorflow

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Dense Label Encoding for Boundary Discontinuity Free Rotation Detection

https://github.com/Thinklab-SJTU/R3Det_Tensorflow

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R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

https://github.com/Thinklab-SJTU/S2TLD

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SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing

https://github.com/TianshuXie/Cut-Thumbnail

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Cut-Thumbnail: A Novel Data Augmentation for Convolutional Neural Network

https://github.com/Tianyaz97/rf_backdoor

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Protocol-agnostic and Data-free Backdoor Attacks on Pre-trained Models in RF Fingerprinting

https://github.com/TimRoith/BregmanLearning

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Neural Architecture Search via Bregman Iterations

https://github.com/TinfoilHat0/Defending-Against-Backdoors-with-Robust-Learning-Rate

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Defending against Backdoors in Federated Learning with Robust Learning Rate

https://github.com/TixXx1337/Federated-Learning-with-Heterogeneous-Data-Handling-for-Robust-Vehicular-Perception

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Federated Learning with Heterogeneous Data Handling for Robust Vehicular Object Detection

https://github.com/TomG008/SkyNet

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SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems

https://github.com/Tombs98/ALGNet

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Learning Enriched Features via Selective State Spaces Model for Efficient Image Deblurring

https://github.com/Tombs98/CAPTNet

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Prompt-based Ingredient-Oriented All-in-One Image Restoration

https://github.com/Tombs98/M3SNet

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A Mountain-Shaped Single-Stage Network for Accurate Image Restoration

https://github.com/TomohikoNakamura/dwtls

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Time-Domain Audio Source Separation Based on Wave-U-Net Combined with Discrete Wavelet Transform

https://github.com/TomohikoNakamura/sfi_convtasnet

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Sampling-Frequency-Independent Audio Source Separation Using Convolution Layer Based on Impulse Invariant Method

https://github.com/TotalVariation/Exchanger4SITS

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Revisiting the Encoding of Satellite Image Time Series

https://github.com/TotalVariation/Flattenet

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FlatteNet: A Simple Versatile Framework for Dense Pixelwise Prediction

https://github.com/ToyotaCRDL/Visual-Concept-Blending

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Zero-Shot Visual Concept Blending Without Text Guidance

https://github.com/ToyotaResearchInstitute/simnet

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SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo

https://github.com/Traffic-X/MonoLSS

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MonoLSS: Learnable Sample Selection For Monocular 3D Detection

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