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 2351–2375 of 10420 papers

TitleStatusHype
Are Visual Recognition Models Robust to Image Compression?—0
Comparative Investigation of Learning Algorithms for Image Classification with Small Dataset—0
Aerial Image Classification in Scarce and Unconstrained Environments via Conformal Prediction—0
Discriminative Transfer Learning with Tree-based Priors—0
Comparative Evaluation of Recent Universal Adversarial Perturbations in Image Classification—0
Are Vision Transformers Robust to Patch-wise Perturbations?—0
Are Vision Transformers Robust to Patch Perturbations?—0
Comparative Analysis of Multiple Deep CNN Models for Waste Classification—0
Comparative Analysis of Lightweight Deep Learning Models for Memory-Constrained Devices—0
Aerial Flood Scene Classification Using Fine-Tuned Attention-based Architecture for Flood-Prone Countries in South Asia—0
Disguised-Nets: Image Disguising for Privacy-preserving Outsourced Deep Learning—0
Distilling Knowledge into Quantum Vision Transformers for Biomedical Image Classification—0
Comparative Analysis of Imbalanced Malware Byteplot Image Classification using Transfer Learning—0
AEON: Adaptive Estimation of Instance-Dependent In-Distribution and Out-of-Distribution Label Noise for Robust Learning—0
Comparative Analysis of Different Methods for Classifying Polychromatic Sketches—0
Compact Representation for Image Classification: To Choose or to Compress?—0
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges—0
Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules—0
A Converting Autoencoder Toward Low-latency and Energy-efficient DNN Inference at the Edge—0
A Review of Transformer-Based Models for Computer Vision Tasks: Capturing Global Context and Spatial Relationships—0
WaveMamba: Spatial-Spectral Wavelet Mamba for Hyperspectral Image Classification—0
Compact Feature Learning for Multi-Domain Image Classification—0
Compact & Capable: Harnessing Graph Neural Networks and Edge Convolution for Medical Image Classification—0
A review of Deep learning Techniques for COVID-19 identification on Chest CT images—0
Discriminative Learning of Sum-Product Networks—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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 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
10RevCol-HTop 1 Accuracy90—Unverified