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 3726–3750 of 10420 papers

TitleStatusHype
Evolutionary Synthesis of Deep Neural Networks via Synaptic Cluster-driven Genetic Encoding—0
Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning—0
Evolution of Activation Functions for Deep Learning-Based Image Classification—0
Evolution of active categorical image classification via saccadic eye movement—0
Evolved Explainable Classifications for Lymph Node Metastases—0
Evolved Part Masking for Self-Supervised Learning—0
A Class of Short-term Recurrence Anderson Mixing Methods and Their Applications—0
Evolving Character-Level DenseNet Architectures using Genetic Programming—0
Cloud-based Image Classification Service Is Not Robust To Simple Transformations: A Forgotten Battlefield—0
Detecting Visually Relevant Sentences for Fine-Grained Classification—0
BFBox: Searching Face-Appropriate Backbone and Feature Pyramid Network for Face Detector—0
Detecting Spurious Correlations via Robust Visual Concepts in Real and AI-Generated Image Classification—0
Be Your Own Best Competitor! Multi-Branched Adversarial Knowledge Transfer—0
An Analysis of the Expressiveness of Deep Neural Network Architectures Based on Their Lipschitz Constants—0
Frequency Dropout: Feature-Level Regularization via Randomized Filtering—0
Detecting Overfitting via Adversarial Examples—0
EWasteNet: A Two-Stream Data Efficient Image Transformer Approach for E-Waste Classification—0
An Analysis of Pre-Training on Object Detection—0
AdaScale SGD: A Scale-Invariant Algorithm for Distributed Training—0
Examining the Proximity of Adversarial Examples to Class Manifolds in Deep Networks—0
Example-Based Explainable AI and its Application for Remote Sensing Image Classification—0
Detecting Novelties with Empty Classes—0
Exemplar Based Deep Discriminative and Shareable Feature Learning for Scene Image Classification—0
Exemplar-free Online Continual Learning—0
Detecting Localized Adversarial Examples: A Generic Approach using Critical Region Analysis—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