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 7251–7300 of 10420 papers

TitleStatusHype
Pancreatic Cancer ROSE Image Classification Based on Multiple Instance Learning with Shuffle Instances—0
Panda or not Panda? Understanding Adversarial Attacks with Interactive Visualization—0
PanorAMS: Automatic Annotation for Detecting Objects in Urban Context—0
Classifying neuromorphic data using a deep learning framework for image classification—0
Efficient Online ML API Selection for Multi-Label Classification Tasks—0
Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection—0
Frozen Feature Augmentation for Few-Shot Image Classification—0
Frost filtered scale-invariant feature extraction and multilayer perceptron for hyperspectral image classification—0
Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification—0
Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model—0
A Study for Universal Adversarial Attacks on Texture Recognition—0
A Generalization Theory based on Independent and Task-Identically Distributed Assumption—0
Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters—0
A Structurally Regularized Convolutional Neural Network for Image Classification using Wavelet-based SubBand Decomposition—0
Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA—0
Plug-and-Play Feature Generation for Few-Shot Medical Image Classification—0
From visual words to a visual grammar: using language modelling for image classification—0
Parameter Re-Initialization through Cyclical Batch Size Schedules—0
A Structurally Regularized CNN Architecture via Adaptive Subband Decomposition—0
A block coordinate descent optimizer for classification problems exploiting convexity—0
A General Framework for Multi-focal Image Classification and Authentication: Application to Microscope Pollen Images—0
PM2: A New Prompting Multi-modal Model Paradigm for Few-shot Medical Image Classification—0
From pixels to planning: scale-free active inference—0
A Strong Inductive Bias: Gzip for binary image classification—0
From Online Behaviours to Images: A Novel Approach to Social Bot Detection—0
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
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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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 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