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object detection

2762 papers

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Also known as

OD

Co-occurring keywords

semantic segmentation (3186) convolutional neural network (4226) instance segmentation (738) domain adaptation (4595) image classification (1944) autonomous driving (1142) transfer learning (5449) neural network (6616) weakly supervised learning (1328) knowledge distillation (3725)

Papers

Bootstrap Your Object Detector via Mixed Training NIPS 2021
Recurrence along Depth: Deep Convolutional Neural Networks with Recurrent Layer Aggregation NIPS 2021
Set Prediction in the Latent Space NIPS 2021
You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection NIPS 2021
PolarStream: Streaming Object Detection and Segmentation with Polar Pillars NIPS 2021
Twins: Revisiting the Design of Spatial Attention in Vision Transformers NIPS 2021
SOAT: A Scene- and Object-Aware Transformer for Vision-and-Language Navigation NIPS 2021
An Empirical Study of Adder Neural Networks for Object Detection NIPS 2021
Object Relation Attention for Image Paragraph Captioning AAAI 2021
Dual-level Collaborative Transformer for Image Captioning AAAI 2021
Global Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context WACV 2021
Robust Knowledge Transfer via Hybrid Forward on the Teacher-Student Model AAAI 2021
Exploring Adversarial Robustness of Multi-sensor Perception Systems in Self Driving CORL 2021
SuPEr-SAM: Using the Supervision Signal From a Pose Estimator to Train a Spatial Attention Module for Personal Protective Equipment Recognition WACV 2021
TOOD: Task-Aligned One-Stage Object Detection ICCV 2021
Recognizing Vector Graphics without Rasterization NIPS 2021
SSAL: Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection NIPS 2021
Aligning Pretraining for Detection via Object-Level Contrastive Learning NIPS 2021
Large-Scale Unsupervised Object Discovery NIPS 2021
Instance-Conditional Knowledge Distillation for Object Detection NIPS 2021
$\alpha$-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression NIPS 2021
Searching Parameterized AP Loss for Object Detection NIPS 2021
SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency NIPS 2021
Dynamic Anchor Learning for Arbitrary-Oriented Object Detection AAAI 2021
Sequential End-to-end Network for Efficient Person Search AAAI 2021