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 9301–9325 of 10420 papers

TitleStatusHype
Free Performance Gain from Mixing Multiple Partially Labeled Samples in Multi-label Image Classification—0
Freeze the backbones: A Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-training—0
FreqFed: A Frequency Analysis-Based Approach for Mitigating Poisoning Attacks in Federated Learning—0
Frequency-Adaptive Discrete Cosine-ViT-ResNet Architecture for Sparse-Data Vision—0
Frequency Disentangled Residual Network—0
Frequency Domain Compact 3D Convolutional Neural Networks—0
Frequency Domain Convolutional Neural Network: Accelerated CNN for Large Diabetic Retinopathy Image Classification—0
Frequency Dropout: Feature-Level Regularization via Randomized Filtering—0
Frequency learning for image classification—0
Frequency Pooling: Shift-Equivalent and Anti-Aliasing Downsampling—0
From Artificial Intelligence to Brain Intelligence: The basis learning and memory algorithm for brain-like intelligence—0
From augmented microscopy to the topological transformer: a new approach in cell image analysis for Alzheimer's research—0
From BOP to BOSS and Beyond: Time Series Classification with Dictionary Based Classifiers—0
From Categories to Classifiers: Name-Only Continual Learning by Exploring the Web—0
From Categories to Subcategories: Large-Scale Image Classification With Partial Class Label Refinement—0
From Dictionary of Visual Words to Subspaces: Locality-Constrained Affine Subspace Coding—0
From images in the wild to video-informed image classification—0
From Image to Video: An Empirical Study of Diffusion Representations—0
From Information Bottleneck To Activation Norm Penalty—0
From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics—0
From Local Similarity to Global Coding: An Application to Image Classification—0
From Maxout to Channel-Out: Encoding Information on Sparse Pathways—0
From Online Behaviours to Images: A Novel Approach to Social Bot Detection—0
From pixels to planning: scale-free active inference—0
From visual words to a visual grammar: using language modelling for 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
10RevCol-HTop 1 Accuracy90—Unverified