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 89018925 of 10420 papers

TitleStatusHype
IDEA: Image Description Enhanced CLIP-AdapterCode0
Model Input-Output Configuration Search with Embedded Feature Selection for Sensor Time-series and Image ClassificationCode0
Cold Case: The Lost MNIST DigitsCode0
Coherence Awareness in Diffractive Neural NetworksCode0
Coarse-to-Fine Object Tracking Using Deep Features and Correlation FiltersCode0
Identification of Stone Deterioration Patterns with Large Multimodal ModelsCode0
MLtuner: System Support for Automatic Machine Learning TuningCode0
Identifying Adversarially Attackable and Robust SamplesCode0
Identifying Bias in Deep Neural Networks Using Image TransformsCode0
CoA: Chain-of-Action for Generative Semantic LabelsCode0
CNNtention: Can CNNs do better with Attention?Code0
Kernel Density Matrices for Probabilistic Deep LearningCode0
ResNet-like Architecture with Low Hardware RequirementsCode0
A Mosquito is Worth 16x16 Larvae: Evaluation of Deep Learning Architectures for Mosquito Larvae ClassificationCode0
Identifying Transients in the Dark Energy Survey using Convolutional Neural NetworksCode0
Domain Agnostic Learning with Disentangled RepresentationsCode0
Distilling Effective Supervision from Severe Label NoiseCode0
Attend and Rectify: a Gated Attention Mechanism for Fine-Grained RecoveryCode0
Adaptively Connected Neural NetworksCode0
CNN-RNN: A Unified Framework for Multi-label Image ClassificationCode0
IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural NetworksCode0
CNN Features off-the-shelf: an Astounding Baseline for RecognitionCode0
C-Net: A Reliable Convolutional Neural Network for Biomedical Image ClassificationCode0
MOB-GCN: A Novel Multiscale Object-Based Graph Neural Network for Hyperspectral Image ClassificationCode0
ILGNet: Inception Modules with Connected Local and Global Features for Efficient Image Aesthetic Quality Classification using Domain AdaptationCode0
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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