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 5551–5575 of 10420 papers

TitleStatusHype
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution—0
Dynamic Decoupling of Placid Terminal Attractor-based Gradient Descent Algorithm—0
Can't Fool Me: Adversarially Robust Transformer for Video Understanding—0
An Interactive Explanatory AI System for Industrial Quality Control—0
Dynamic ConvNets on Tiny Devices via Nested Sparsity—0
Dynamic Conditional Networks for Few-Shot Learning—0
Can representation learning for multimodal image registration be improved by supervision of intermediate layers?—0
Dynamic Backdoors with Global Average Pooling—0
Dynamically Stable Poincaré Embeddings for Neural Manifolds—0
Canonical Correlation Analysis of Datasets with a Common Source Graph—0
GPT4Image: Can Large Pre-trained Models Help Vision Models on Perception Tasks?—0
An Intelligent Hybrid Model for Identity Document Classification—0
A comparative study of semi- and self-supervised semantic segmentation of biomedical microscopy data—0
DWT-CompCNN: Deep Image Classification Network for High Throughput JPEG 2000 Compressed Documents—0
Can Language Models Use Forecasting Strategies?—0
Dual-Tree Wavelet Packet CNNs for Image Classification—0
DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion—0
Dual Supervised Learning—0
Can KAN Work? Exploring the Potential of Kolmogorov-Arnold Networks in Computer Vision—0
Can Deep Neural Networks Match the Related Objects?: A Survey on ImageNet-trained Classification Models—0
Dual-stream Network for Visual Recognition—0
Dual Pattern Learning Networks by Empirical Dual Prediction Risk Minimization—0
Cancer image classification based on DenseNet model—0
Dual Path Transformer with Partition Attention—0
DualMamba: A Lightweight Spectral-Spatial Mamba-Convolution Network for Hyperspectral Image Classification—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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified