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 3451–3500 of 10419 papers

TitleStatusHype
Unsupervised Contrastive Analysis for Salient Pattern Detection using Conditional Diffusion ModelsCode0
Task-oriented Embedding Counts: Heuristic Clustering-driven Feature Fine-tuning for Whole Slide Image Classification—0
Kolmogorov-Arnold Network for Satellite Image Classification in Remote SensingCode0
An Effective Weight Initialization Method for Deep Learning: Application to Satellite Image ClassificationCode0
Advancing Supervised Local Learning Beyond Classification with Long-term Feature Bank—0
From Seedling to Harvest: The GrowingSoy Dataset for Weed Detection in Soy Crops via Instance SegmentationCode0
CONFINE: Conformal Prediction for Interpretable Neural Networks—0
Robust Stable Spiking Neural NetworksCode0
Non-Federated Multi-Task Split Learning for Heterogeneous Sources—0
GenMix: Combining Generative and Mixture Data Augmentation for Medical Image Classification—0
You Only Scan Once: Efficient Multi-dimension Sequential Modeling with LightNet—0
Enhancing Counterfactual Image Generation Using Mahalanobis Distance with Distribution Preferences in Feature Space—0
Improving Generalization and Convergence by Enhancing Implicit RegularizationCode0
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
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
Verifiably Robust Conformal PredictionCode0
GIST: Greedy Independent Set Thresholding for Diverse Data Summarization—0
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
WASH: Train your Ensemble with Communication-Efficient Weight Shuffling, then Average—0
Model-Agnostic Zeroth-Order Policy Optimization for Meta-Learning of Ergodic Linear Quadratic Regulators—0
On Understanding Attention-Based In-Context Learning for Categorical Data—0
Superpixelwise Low-rank Approximation based Partial Label Learning for Hyperspectral Image ClassificationCode0
Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack—0
ModelLock: Locking Your Model With a Spell—0
Free Performance Gain from Mixing Multiple Partially Labeled Samples in Multi-label Image Classification—0
Exposing Image Classifier Shortcuts with Counterfactual Frequency (CoF) Tables—0
CLIP model is an Efficient Online Lifelong LearnerCode0
Class Machine Unlearning for Complex Data via Concepts Inference and Data Poisoning—0
A Neurosymbolic Framework for Bias Correction in Convolutional Neural Networks—0
LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity SynchronizationCode0
What Do You See? Enhancing Zero-Shot Image Classification with Multimodal Large Language ModelsCode0
Transformer-based Federated Learning for Multi-Label Remote Sensing Image Classification—0
Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene ImagesCode0
Harnessing Increased Client Participation with Cohort-Parallel Federated Learning—0
Scalable Visual State Space Model with Fractal Scanning—0
Pre-Trained Vision-Language Models as Partial Annotators—0
Domain Wall Magnetic Tunnel Junction Reliable Integrate and Fire Neuron—0
Adaptive Gradient Clipping for Robust Federated Learning—0
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property—0
A Lost Opportunity for Vision-Language Models: A Comparative Study of Online Test-Time Adaptation for Vision-Language Models—0
Exploration of Multi-Scale Image Fusion Systems in Intelligent Medical Image Analysis—0
Stochastic Online Conformal Prediction with Semi-Bandit Feedback—0
Semantic Equitable Clustering: A Simple and Effective Strategy for Clustering Vision Tokens—0
Markerless retro-identification complements re-identification of individual insect subjects in archived image data of biological experiments—0
FLARE up your data: Diffusion-based Augmentation Method in Astronomical ImagingCode0
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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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified