Maxim Bonnaerens
Maxim Bonnaerens
Posts
Publications
Flashcards
Gaussian Splatting
DUSt3R
Mip-NeRF 360
Mip-NeRF
Token Merging: Your ViT But Faster
Anchor Pruning for Object Detection
Accurate, Large Minibatch SGD
Attention Is All You Need
Barlow Twins
Batch Normalization
Deep Reinforcement Learning
DETR
Dice Loss
Diffusion Models
Dilated Convolutions
Distilling the Knowledge in a Neural Network
Instant-NGP
Latent Diffusion Models
Learned Thresholds Token Merging and Pruning for Vision Transformers
LoRA
Mixture-of-Experts with Expert Choice Routing
MobileNetV1
MobileNetV2
NeRF
Once-for-All
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
Proximal Policy Optimization Algorithms
RetinaNet
Segment Anything
SETR
SimCLR
Squeeze-and-Excitation Networks
SSD: Single Shot MultiBox Detector
Stable Diffusion
Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity
The Lottery Ticket Hypothesis
Variational Auto-Encoder
Vision Transformers
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Tags
Computer Vision
Apr 3, 2024
NeRF
Apr 3, 2024
Pruning
Apr 3, 2024
Vision Transformers
Apr 3, 2024
Object Detection
Apr 3, 2024
Real Time
Apr 3, 2024
Automotive and Traffic Monitoring
Apr 3, 2024
Deep Learning
Apr 3, 2024
Embedded Devices
Apr 3, 2024
Object Detection and Classification
Apr 3, 2024
Point Cloud Processing
Apr 3, 2024
Position Sensors
Apr 3, 2024
Reconfiguration
Apr 3, 2024
Robustness
Apr 3, 2024
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