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Computer Vision
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Analysis
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Object Detection
4,772 papers
Papers per year
2006: 14
2007: 13
2008: 11
2009: 13
2010: 12
2011: 21
2012: 26
2013: 176
2014: 87
2015: 161
2016: 109
2017: 143
2018: 145
2019: 383
2020: 392
2021: 576
2022: 489
2023: 683
2024: 568
2025: 590
2026: 160
Papers
Harmonizing the object recognition strategies of deep neural networks with humans
NIPS 2022
Hard ImageNet: Segmentations for Objects with Strong Spurious Cues
NIPS 2022
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions
NIPS 2022
BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework
NIPS 2022
Unsupervised Object Detection Pretraining with Joint Object Priors Generation and Detector Learning
NIPS 2022
Single-Stage Visual Relationship Learning using Conditional Queries
NIPS 2022
Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection
NIPS 2022
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing
NIPS 2022
PKD: General Distillation Framework for Object Detectors via Pearson Correlation Coefficient
NIPS 2022
K-LITE: Learning Transferable Visual Models with External Knowledge
NIPS 2022
Self-Supervised Visual Representation Learning with Semantic Grouping
NIPS 2022
APT-36K: A Large-scale Benchmark for Animal Pose Estimation and Tracking
NIPS 2022
Unifying Voxel-based Representation with Transformer for 3D Object Detection
NIPS 2022
Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation
NIPS 2022
Large-batch Optimization for Dense Visual Predictions: Training Faster R-CNN in 4.2 Minutes
NIPS 2022
SIREN: Shaping Representations for Detecting Out-of-Distribution Objects
NIPS 2022
SAPA: Similarity-Aware Point Affiliation for Feature Upsampling
NIPS 2022
Towards Efficient 3D Object Detection with Knowledge Distillation
NIPS 2022
Exploiting Semantic Relations for Glass Surface Detection
NIPS 2022
Deep Fourier Up-Sampling
NIPS 2022
Inception Transformer
NIPS 2022
Differentiable hierarchical and surrogate gradient search for spiking neural networks
NIPS 2022
CEDe: A collection of expert-curated datasets with atom-level entity annotations for Optical Chemical Structure Recognition
NIPS 2022
Effectiveness of Vision Transformer for Fast and Accurate Single-Stage Pedestrian Detection
NIPS 2022
What is Where by Looking: Weakly-Supervised Open-World Phrase-Grounding without Text Inputs
NIPS 2022
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