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 7251–7275 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
Pixel precise unsupervised detection of viral particle proliferation in cellular imaging data—0
Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection—0
From visual words to a visual grammar: using language modelling for image classification—0
A Structurally Regularized CNN Architecture via Adaptive Subband Decomposition—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 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
Pixel-level Reconstruction and Classification for Noisy Handwritten Bangla Characters—0
PK-GCN: Prior Knowledge Assisted Image Classification using Graph Convolution Networks—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
Parameter Re-Initialization through Cyclical Batch Size Schedules—0
From Maxout to Channel-Out: Encoding Information on Sparse Pathways—0
Context Understanding in Computer Vision: A Survey—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
Entropy-Driven Mixed-Precision Quantization for Deep Network Design—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
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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