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 6001–6025 of 10420 papers

TitleStatusHype
A Sneak Attack on Segmentation of Medical Images Using Deep Neural Network Classifiers—0
Negative Evidence Matters in Interpretable Histology Image ClassificationCode0
Nonlocal Kernel Network (NKN): a Stable and Resolution-Independent Deep Neural Network—0
Deep Learning Based Classification System For Recognizing Local Spinach—0
Problem-dependent attention and effort in neural networks with applications to image resolution and model selection—0
Towards Understanding Quality Challenges of the Federated Learning for Neural Networks: A First Look from the Lens of RobustnessCode0
Synthesizer Based Efficient Self-Attention for Vision Tasks—0
AI visualization in Nanoscale Microscopy—0
Attention Mechanism Meets with Hybrid Dense Network for Hyperspectral Image Classification—0
An analysis of over-sampling labeled data in semi-supervised learning with FixMatchCode0
Gaussian-Hermite Moment Invariants of General Multi-Channel Functions—0
Building Human-like Communicative Intelligence: A Grounded Perspective—0
Riemannian Nearest-Regularized Subspace Classification for Polarimetric SAR images—0
Semi-Supervised Few-Shot Learning via Multi-Factor ClusteringCode0
Learning To Collaborate in Decentralized Learning of Personalized Models—0
Motion-Modulated Temporal Fragment Alignment Network for Few-Shot Action Recognition—0
AME: Attention and Memory Enhancement in Hyper-Parameter Optimization—0
Turath-150K: Image Database of Arab Heritage—0
Improving Adversarially Robust Few-Shot Image Classification With Generalizable Representations—0
Smooth Maximum Unit: Smooth Activation Function for Deep Networks Using Smoothing Maximum Technique—0
Improving Deep Neural Network Classification Confidence using Heatmap-based eXplainable AICode0
Context-Aware Compilation of DNN Training Pipelines across Edge and CloudCode0
Learning Spatially-Adaptive Squeeze-Excitation Networks for Image Synthesis and Image RecognitionCode0
Super-Efficient Super Resolution for Fast Adversarial Defense at the EdgeCode0
Two-phase training mitigates class imbalance for camera trap image classification with CNNsCode0
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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
10RevCol-HTop 1 Accuracy90—Unverified