Hippocampus

50 papers with code • 0 benchmarks • 0 datasets

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3D-EffiViTCaps: 3D Efficient Vision Transformer with Capsule for Medical Image Segmentation

hidneuron/3d-effivitcaps 25 Mar 2024

Our encoder uses capsule blocks and EfficientViT blocks to jointly capture local and global semantic information more effectively and efficiently with less information loss, while the decoder employs CNN blocks and EfficientViT blocks to catch ffner details for segmentation.

0
25 Mar 2024

MDD-UNet: Domain Adaptation for Medical Image Segmentation with Theoretical Guarantees, a Proof of Concept

asbjrnmunk/mdd-unet 19 Dec 2023

The current state-of-the art techniques for image segmentation are often based on U-Net architectures, a U-shaped encoder-decoder networks with skip connections.

10
19 Dec 2023

Geodesic Regression Characterizes 3D Shape Changes in the Female Brain During Menstruation

bioshape-lab/my28brains 28 Sep 2023

We seek to investigate this connection by developing tools that quantify 3D shape changes that occur in the brain during sex hormone fluctuations.

3
28 Sep 2023

M3D-NCA: Robust 3D Segmentation with Built-in Quality Control

MECLabTUDA/M3D-NCA 6 Sep 2023

Medical image segmentation relies heavily on large-scale deep learning models, such as UNet-based architectures.

11
06 Sep 2023

Memory Encoding Model

huzeyann/MemoryEncodingModel 2 Aug 2023

Our ensemble model without memory input (61. 4) can also stand a 3rd place.

41
02 Aug 2023

CBCL-PR: A Cognitively Inspired Model for Class-Incremental Learning in Robotics

aliayub7/cbcl-pr 31 Jul 2023

For most real-world applications, robots need to adapt and learn continually with limited data in their environments.

1
31 Jul 2023

External Reasoning: Towards Multi-Large-Language-Models Interchangeable Assistance with Human Feedback

AkideLiu/ANLP 5 Jul 2023

Memory is identified as a crucial human faculty that allows for the retention of visual and linguistic information within the hippocampus and neurons in the brain, which can subsequently be retrieved to address real-world challenges that arise through a lifetime of learning.

0
05 Jul 2023

Deep Reinforcement Learning with Task-Adaptive Retrieval via Hypernetwork

ygjin11/task-hypernet 19 Jun 2023

Deep reinforcement learning algorithms are usually impeded by sampling inefficiency, heavily depending on multiple interactions with the environment to acquire accurate decision-making capabilities.

9
19 Jun 2023

Theta sequences as eligibility traces: a biological solution to credit assignment

tomgeorge1234/thetasequencesareeligibilitytraces 14 May 2023

Credit assignment problems, for example policy evaluation in RL, often require bootstrapping prediction errors through preceding states \textit{or} maintaining temporally extended memory traces; solutions which are unfavourable or implausible for biological networks of neurons.

2
14 May 2023