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

Showing 601625 of 10419 papers

TitleStatusHype
ShotVL: Human-Centric Highlight Frame Retrieval via Language Queries0
Identifying Bias in Deep Neural Networks Using Image TransformsCode0
RemoteTrimmer: Adaptive Structural Pruning for Remote Sensing Image ClassificationCode0
Structural Pruning via Spatial-aware Information Redundancy for Semantic SegmentationCode0
Real-valued continued fraction of straight linesCode0
Explicit and Implicit Graduated Optimization in Deep Neural NetworksCode0
Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning0
Does VLM Classification Benefit from LLM Description Semantics?Code1
FSFM: A Generalizable Face Security Foundation Model via Self-Supervised Facial Representation LearningCode2
CNNtention: Can CNNs do better with Attention?Code0
LMM-Regularized CLIP Embeddings for Image Classification0
The Impact of Generalization Techniques on the Interplay Among Privacy, Utility, and Fairness in Image Classification0
Semi-Supervised Risk Control via Prediction-Powered Inference0
On the Generalizability of Iterative Patch Selection for Memory-Efficient High-Resolution Image ClassificationCode0
CATALOG: A Camera Trap Language-guided Contrastive Learning ModelCode0
Linked Adapters: Linking Past and Future to Present for Effective Continual Learning0
RapidNet: Multi-Level Dilated Convolution Based Mobile BackboneCode1
Err on the Side of Texture: Texture Bias on Real DataCode0
MVQ:Towards Efficient DNN Compression and Acceleration with Masked Vector Quantization0
Robust image classification with multi-modal large language models0
Data Pruning Can Do More: A Comprehensive Data Pruning Approach for Object Re-identificationCode0
DQA: An Efficient Method for Deep Quantization of Deep Neural Network Activations0
STEAM: Squeeze and Transform Enhanced Attention Module0
An Efficient Framework for Enhancing Discriminative Models via Diffusion TechniquesCode0
Stochastic Learning of Non-Conjugate Variational Posterior for Image Classification0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified