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 3451–3475 of 10420 papers

TitleStatusHype
An Optimized Toolbox for Advanced Image Processing with Tsetlin Machine CompositesCode0
Task-oriented Embedding Counts: Heuristic Clustering-driven Feature Fine-tuning for Whole Slide Image Classification—0
Unsupervised Contrastive Analysis for Salient Pattern Detection using Conditional Diffusion ModelsCode0
Kolmogorov-Arnold Network for Satellite Image Classification in Remote SensingCode0
Advancing Supervised Local Learning Beyond Classification with Long-term Feature Bank—0
An Effective Weight Initialization Method for Deep Learning: Application to Satellite Image ClassificationCode0
From Seedling to Harvest: The GrowingSoy Dataset for Weed Detection in Soy Crops via Instance SegmentationCode0
CONFINE: Conformal Prediction for Interpretable Neural Networks—0
GenMix: Combining Generative and Mixture Data Augmentation for Medical Image Classification—0
Improving Generalization and Convergence by Enhancing Implicit RegularizationCode0
Non-Federated Multi-Task Split Learning for Heterogeneous Sources—0
You Only Scan Once: Efficient Multi-dimension Sequential Modeling with LightNet—0
Robust Stable Spiking Neural NetworksCode0
Enhancing Counterfactual Image Generation Using Mahalanobis Distance with Distribution Preferences in Feature Space—0
Investigating Calibration and Corruption Robustness of Post-hoc Pruned Perception CNNs: An Image Classification Benchmark Study—0
Occam Gradient DescentCode0
Mitigating the Impact of Labeling Errors on Training via Rockafellian Relaxation—0
Verifiably Robust Conformal PredictionCode0
GIST: Greedy Independent Set Thresholding for Diverse Data Summarization—0
LLM-based Hierarchical Concept Decomposition for Interpretable Fine-Grained Image Classification—0
Multimodal Adversarial Defense for Vision-Language Models by Leveraging One-To-Many Relationships—0
I Bet You Did Not Mean That: Testing Semantic Importance via BettingCode0
MSPE: Multi-Scale Patch Embedding Prompts Vision Transformers to Any Resolution—0
It's Not a Modality Gap: Characterizing and Addressing the Contrastive Gap—0
Superpixelwise Low-rank Approximation based Partial Label Learning for Hyperspectral Image ClassificationCode0
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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