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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 6801–6825 of 10420 papers

TitleStatusHype
Neural Architecture Search with an Efficient Multiobjective Evolutionary Framework—0
Efficient Adaptive Ensembling for Image Classification—0
Generalization Bounds for Convolutional Neural Networks—0
Neural Attention: A Novel Mechanism for Enhanced Expressive Power in Transformer Models—0
Contrastive Learning of Image Representations with Cross-Video Cycle-Consistency—0
Neural Cellular Automata for Lightweight, Robust and Explainable Classification of White Blood Cell Images—0
A Survey of Neural Network Robustness Assessment in Image Recognition—0
Neural Compatibility Modeling with Attentive Knowledge Distillation—0
Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data—0
Neural Delay Differential Equations: System Reconstruction and Image Classification—0
Neural Dependencies Emerging from Learning Massive Categories—0
Efficient Annotation for Medical Image Analysis: A One-Pass Selective Annotation Approach—0
Agglomerative Token Clustering—0
Neural encoding and interpretation for high-level visual cortices based on fMRI using image caption features—0
Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors—0
Generalizable Information Theoretic Causal Representation—0
Generalisation First, Memorisation Second? Memorisation Localisation for Natural Language Classification Tasks—0
A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar Image Classification—0
A Survey of Malware Detection Using Deep Learning—0
Active Learning for Multi-class Image Classification—0
Contrastive Learning for Regression on Hyperspectral Data—0
Neural Network Layer Algebra: A Framework to Measure Capacity and Compression in Deep Learning—0
Neural Network Pruning Through Constrained Reinforcement Learning—0
A Non-monotonic Smooth Activation Function—0
General Adversarial Defense via Pixel Level and Feature Level Distribution Alignment—0
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All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified