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 7276–7300 of 10420 papers

TitleStatusHype
From Maxout to Channel-Out: Encoding Information on Sparse Pathways—0
ParFormer: A Vision Transformer with Parallel Mixer and Sparse Channel Attention Patch Embedding—0
PARIC: Probabilistic Attention Regularization for Language Guided Image Classification from Pre-trained Vison Language Models—0
Context Understanding in Computer Vision: A Survey—0
A Performance Evaluation of Convolutional Neural Networks for Face Anti Spoofing—0
A general approach to compute the relevance of middle-level input features—0
From Local Similarity to Global Coding: An Application to Image Classification—0
Partial local entropy and anisotropy in deep weight spaces—0
Partial Search in a Frozen Network is Enough to Find a Strong Lottery Ticket—0
From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics—0
From Information Bottleneck To Activation Norm Penalty—0
ParticleAugment: Sampling-Based Data Augmentation—0
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models—0
From Image to Video: An Empirical Study of Diffusion Representations—0
Parting with Illusions about Deep Active Learning—0
Class Instance Balanced Learning for Long-Tailed Classification—0
Partner-Assisted Learning for Few-Shot Image Classification—0
Pasadena: Perceptually Aware and Stealthy Adversarial Denoise Attack—0
Commit2Vec: Learning Distributed Representations of Code Changes—0
A Strong Baseline for the VIPriors Data-Efficient Image Classification Challenge—0
PLMCL: Partial-Label Momentum Curriculum Learning for Multi-Label Image Classification—0
From images in the wild to video-informed image classification—0
Contextual Recurrent Convolutional Model for Robust Visual Learning—0
From Dictionary of Visual Words to Subspaces: Locality-Constrained Affine Subspace Coding—0
From Categories to Subcategories: Large-Scale Image Classification With Partial Class Label Refinement—0
Show:102550
← PrevPage 292 of 417Next →
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