SOTAVerified

Image Classification

Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.

Source: Metamorphic Testing for Object Detection Systems

Papers

Showing 301350 of 10419 papers

TitleStatusHype
HGRN2: Gated Linear RNNs with State ExpansionCode2
Adapter is All You Need for Tuning Visual TasksCode2
A Self-Supervised Descriptor for Image Copy DetectionCode2
Agent Attention: On the Integration of Softmax and Linear AttentionCode2
AutoFormer: Searching Transformers for Visual RecognitionCode2
Involution: Inverting the Inherence of Convolution for Visual RecognitionCode2
Attention Mechanisms in Computer Vision: A SurveyCode2
Continual Forgetting for Pre-trained Vision ModelsCode2
CrypTen: Secure Multi-Party Computation Meets Machine LearningCode2
ktrain: A Low-Code Library for Augmented Machine LearningCode2
Fast Vision Transformers with HiLo AttentionCode2
Learn From Zoom: Decoupled Supervised Contrastive Learning For WCE Image ClassificationCode2
SCAN: Learning to Classify Images without LabelsCode2
Many-Shot In-Context Learning in Multimodal Foundation ModelsCode2
LibFewShot: A Comprehensive Library for Few-shot LearningCode2
SeaFormer++: Squeeze-enhanced Axial Transformer for Mobile Visual RecognitionCode2
Approaching Deep Learning through the Spectral Dynamics of WeightsCode1
Clusterability as an Alternative to Anchor Points When Learning with Noisy LabelsCode1
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image ClassificationCode1
Counterfactual Explanations for Medical Image Classification and Regression using Diffusion AutoencoderCode1
CLR: Channel-wise Lightweight Reprogramming for Continual LearningCode1
ClusterFormer: Clustering As A Universal Visual LearnerCode1
CLIP the Gap: A Single Domain Generalization Approach for Object DetectionCode1
FocusNet: Classifying Better by Focusing on Confusing ClassesCode1
Spatial and Spatial-Spectral Morphological Mamba for Hyperspectral Image ClassificationCode1
Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image ClassificationCode1
A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network InferenceCode1
CLIP-guided Federated Learning on Heterogeneous and Long-Tailed DataCode1
CLIP meets DINO for Tuning Zero-Shot Classifier using Unlabeled Image CollectionsCode1
A Partially Reversible U-Net for Memory-Efficient Volumetric Image SegmentationCode1
Anytime Continual Learning for Open Vocabulary ClassificationCode1
An Overview of Deep Learning Architectures in Few-Shot Learning DomainCode1
CleanNet: Transfer Learning for Scalable Image Classifier Training with Label NoiseCode1
A Contrastive Distillation Approach for Incremental Semantic Segmentation in Aerial ImagesCode1
AQD: Towards Accurate Fully-Quantized Object DetectionCode1
Clean-Label Backdoor Attacks on Video Recognition ModelsCode1
CLIP4IDC: CLIP for Image Difference CaptioningCode1
CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object NavigationCode1
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep LearningCode1
AASAE: Augmentation-Augmented Stochastic AutoencodersCode1
A Conservative Approach for Unbiased Learning on Unknown BiasesCode1
Optimized spiking neurons classify images with high accuracy through temporal coding with two spikesCode1
Class-Difficulty Based Methods for Long-Tailed Visual RecognitionCode1
A Novel Convolutional Neural Network Architecture with a Continuous SymmetryCode1
Class Distance Weighted Cross-Entropy Loss for Ulcerative Colitis Severity EstimationCode1
Class-Incremental Grouping Network for Continual Audio-Visual LearningCode1
Class-Balanced Active Learning for Image ClassificationCode1
Class-Aware Patch Embedding Adaptation for Few-Shot Image ClassificationCode1
Class-Balanced Distillation for Long-Tailed Visual RecognitionCode1
A Novel Approach for detecting Normal, COVID-19 and Pneumonia patient using only binary classifications from chest CT-ScansCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified