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 5351–5375 of 10420 papers

TitleStatusHype
A Novel Explainable Artificial Intelligence Model in Image Classification problem—0
Adversarial Attacks for Tabular Data: Application to Fraud Detection and Imbalanced Data—0
Efficient Super Resolution Using Binarized Neural Network—0
Efficient Sparse Artificial Neural Networks—0
A Novel Deep ML Architecture by Integrating Visual Simultaneous Localization and Mapping (vSLAM) into Mask R-CNN for Real-time Surgical Video Analysis—0
Efficient Scale-Permuted Backbone with Learned Resource Distribution—0
Check Your Other Door! Creating Backdoor Attacks in the Frequency Domain—0
A Novel Deep Learning Architecture for Testis Histology Image Classification—0
Adversarial Attacks for Optical Flow-Based Action Recognition Classifiers—0
Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints—0
Efficient Progressive Neural Architecture Search—0
Efficient, probabilistic analysis of combinatorial neural codes—0
Efficient Privacy-Preserving KAN Inference Using Homomorphic Encryption—0
Deep Learning-Driven Approach for Handwritten Chinese Character Classification—0
Efficient Privacy Preserving Edge Computing Framework for Image Classification—0
Efficient Post-Training Augmentation for Adaptive Inference in Heterogeneous and Distributed IoT Environments—0
Channel Pruning via Multi-Criteria based on Weight Dependency—0
A Novel BGCapsule Network for Text Classification—0
Efficient non-uniform quantizer for quantized neural network targeting reconfigurable hardware—0
Efficient Neural Vision Systems Based on Convolutional Image Acquisition—0
Efficient Neural Network Training via Subset Pretraining—0
Channel Compression: Rethinking Information Redundancy among Channels in CNN Architecture—0
Efficient Neural Architecture Transformation Search in Channel-Level for Object Detection—0
Efficient Neural Architecture Transformation Searchin Channel-Level for Object Detection—0
Breast Cancer Histopathology Classification using CBAM-EfficientNetV2 with Transfer Learning—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
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