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 4551–4600 of 10420 papers

TitleStatusHype
Deep Convolutional Decision Jungle for Image Classification—0
Impact of Colour Variation on Robustness of Deep Neural Networks—0
AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning—0
Deep Context-Aware Kernel Networks—0
Accumulator-Aware Post-Training Quantization—0
Impact of Data Duplication on Deep Neural Network-Based Image Classifiers: Robust vs. Standard Models—0
Impact of Light and Shadow on Robustness of Deep Neural Networks—0
Autonomous Deep Learning: A Genetic DCNN Designer for Image Classification—0
Impact of Automatic Image Classification and Blind Deconvolution in Improving Text Detection Performance of the CRAFT Algorithm—0
A Low-Cost Neural ODE with Depthwise Separable Convolution for Edge Domain Adaptation on FPGAs—0
Adaptive Class Preserving Representation for Image Classification—0
Impact of base dataset design on few-shot image classification—0
Deep Collective Learning: Learning Optimal Inputs and Weights Jointly in Deep Neural Networks—0
Deep Collaborative Learning for Visual Recognition—0
Automating Defense Against Adversarial Attacks: Discovery of Vulnerabilities and Application of Multi-INT Imagery to Protect Deployed Models—0
Deep CNNs for Peripheral Blood Cell Classification—0
A Low-cost and Ultra-lightweight Binary Neural Network for Traffic Signal Recognition—0
Impact of Batch Normalization on Convolutional Network Representations—0
Impact of Low-bitwidth Quantization on the Adversarial Robustness for Embedded Neural Networks—0
Implementation of Deep Convolutional Neural Network in Multi-class Categorical Image Classification—0
Improved Fine-Tuning by Better Leveraging Pre-Training Data—0
A Pseudo-labelling Auto-Encoder for unsupervised image classification—0
Incorporating Semantic Attention in Video Description Generation—0
Inverting The Generator Of A Generative Adversarial Network—0
Deep CNNs for large scale species classification—0
Automatic Skin Lesion Analysis using Large-scale Dermoscopy Images and Deep Residual Networks—0
A Lost Opportunity for Vision-Language Models: A Comparative Study of Online Test-Time Adaptation for Vision-Language Models—0
Deep Cervix Model Development from Heterogeneous and Partially Labeled Image Datasets—0
Automatic Script Identification in the Wild—0
Imbalanced Malware Images Classification: a CNN based Approach—0
ALoRE: Efficient Visual Adaptation via Aggregating Low Rank Experts—0
Deep Boosting: Layered Feature Mining for General Image Classification—0
Imbalanced Classification in Medical Imaging via Regrouping—0
Deep Boosting: Joint Feature Selection and Analysis Dictionary Learning in Hierarchy—0
Adaptive Classification of Interval-Valued Time Series—0
StackMix: A complementary Mix algorithm—0
Deep Axial Hypercomplex Networks—0
Deep Autoencoder Model Construction Based on Pytorch—0
Automatic Radiology Report Generation based on Multi-view Image Fusion and Medical Concept Enrichment—0
Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities—0
Between Progress and Potential Impact of AI: the Neglected Dimensions—0
Deep Attributes from Context-Aware Regional Neural Codes—0
Automatic estimation of heading date of paddy rice using deep learning—0
A Local Detection Approach for Named Entity Recognition and Mention Detection—0
Deep Algorithmic Question Answering: Towards a Compositionally Hybrid AI for Algorithmic Reasoning—0
DeepAGREL: Biologically plausible deep learning via direct reinforcement—0
Imaging with Equivariant Deep Learning—0
IM: An R-Package for Computation of Image Moments and Moment Invariants—0
Img2Tab: Automatic Class Relevant Concept Discovery from StyleGAN Features for Explainable Image Classification—0
Automatic Error Detection in Integrated Circuits Image Segmentation: A Data-driven Approach—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